diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/README.md
new file mode 100644
index 000000000000..841a97c2f625
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/README.md
@@ -0,0 +1,279 @@
+<!--
+
+@license Apache-2.0
+
+Copyright (c) 2026 The Stdlib Authors.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+   http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+
+-->
+
+# Logarithm of Cumulative Distribution Function
+
+> [Wald][wald-distribution] distribution natural logarithm of [cumulative distribution function][cdf].
+
+<section class="intro">
+
+The [cumulative distribution function][cdf] for a [Wald][wald-distribution] random variable is
+
+<!-- <equation class="equation" label="eq:wald_cdf" align="center" raw="F(x;\mu,\lambda)=\Phi(\sqrt{\lambda/x}((x/\mu)-1))+\exp(2\lambda/\mu)\Phi(-\sqrt{\lambda/x}((x/\mu)+1))" alt="Cumulative distribution function (CDF) for a Wald distribution."> -->
+
+```math
+F(x;\mu,\lambda) = \Phi\!\left(\sqrt{\frac{\lambda}{x}}\left(\frac{x}{\mu}-1\right)\right) + \exp\!\left(\frac{2\lambda}{\mu}\right)\,\Phi\!\left(-\sqrt{\frac{\lambda}{x}}\left(\frac{x}{\mu}+1\right)\right)
+```
+
+<!-- </equation> -->
+
+where `μ > 0` is the mean and `λ > 0` is the shape parameter.
+
+</section>
+
+<!-- /.intro -->
+
+<section class="usage">
+
+## Usage
+
+```javascript
+var logcdf = require( '@stdlib/stats/base/dists/wald/logcdf' );
+```
+
+#### logcdf( x, mu, lambda )
+
+Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF) for a [Wald][wald-distribution] distribution with parameters `mu` (mean) and `lambda` (shape parameter).
+
+```javascript
+var y = logcdf( 2.0, 2.0, 1.0 );
+// returns ~-0.337
+
+y = logcdf( 1.0, 2.0, 1.0 );
+// returns ~-0.713
+
+y = logcdf( 4.0, 2.0, 1.0 );
+// returns ~-0.136
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = logcdf( NaN, 2.0, 1.0 );
+// returns NaN
+
+y = logcdf( 2.0, NaN, 1.0 );
+// returns NaN
+
+y = logcdf( 2.0, 2.0, NaN );
+// returns NaN
+```
+
+If provided `mu <= 0` or `lambda < 0`, the function returns `NaN`.
+
+```javascript
+var y = logcdf( 2.0, 0.0, -3.0 );
+// returns NaN
+
+y = logcdf( 2.0, -1.0, -2.0 );
+// returns NaN
+
+y = logcdf( 2.0, -2.0, -1.0 );
+// returns NaN
+```
+
+If provided `x <= 0`, the function returns `-Infinity`.
+
+```javascript
+var y = logcdf( 0.0, 2.0, 1.0 );
+// returns -Infinity
+
+y = logcdf( -1.0, 2.0, 1.0 );
+// returns -Infinity
+```
+
+If `lambda = 0`, the function evaluates the logarithm of the [CDF][cdf] of a [degenerate distribution][degenerate-distribution] centered at `mu`.
+
+```javascript
+var y = logcdf( 2.0, 8.0, 0.0 );
+// returns -Infinity
+
+y = logcdf( 8.0, 8.0, 0.0 );
+// returns 0.0
+
+y = logcdf( 10.0, 8.0, 0.0 );
+// returns 0.0
+```
+
+#### logcdf.factory( mu, lambda )
+
+Returns a function for evaluating the natural logarithm of the [cumulative distribution function][cdf] of a [Wald][wald-distribution] distribution with parameters `mu` and `lambda`.
+
+```javascript
+var mylogcdf = logcdf.factory( 1.0, 1.0 );
+
+var y = mylogcdf( 2.0 );
+// returns ~-0.122
+
+y = mylogcdf( 8.0 );
+// returns ~-0.001
+```
+
+</section>
+
+<!-- /.usage -->
+
+<section class="examples">
+
+## Examples
+
+<!-- eslint no-undef: "error" -->
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var logcdf = require( '@stdlib/stats/base/dists/wald/logcdf' );
+
+var opts = {
+    'dtype': 'float64'
+};
+var x = uniform( 10, EPS, 10.0, opts );
+var mu = uniform( 10, EPS, 10.0, opts );
+var lambda = uniform( 10, EPS, 20.0, opts );
+
+logEachMap( 'x: %0.4f, μ: %0.4f, λ: %0.4f, ln(F(x;μ,λ)): %0.4f', x, mu, lambda, logcdf );
+```
+
+</section>
+
+<!-- /.examples -->
+
+<!-- C interface documentation. -->
+
+* * *
+
+<section class="c">
+
+## C APIs
+
+<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
+
+<section class="intro">
+
+</section>
+
+<!-- /.intro -->
+
+<!-- C usage documentation. -->
+
+<section class="usage">
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+```
+
+#### stdlib_base_dists_wald_logcdf( x, mu, lambda )
+
+Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF) for a [Wald][wald-distribution] distribution with parameters `mu` (mean) and `lambda` (shape parameter).
+
+```c
+double out = stdlib_base_dists_wald_logcdf( 2.0, 1.0, 1.0 );
+// returns ~-0.122
+```
+
+The function accepts the following arguments:
+
+-   **x**: `[in] double` input value.
+-   **mu**: `[in] double` mean.
+-   **lambda**: `[in] double` shape parameter.
+
+```c
+double stdlib_base_dists_wald_logcdf( const double x, const double mu, const double lambda );
+```
+
+</section>
+
+<!-- /.usage -->
+
+<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="notes">
+
+</section>
+
+<!-- /.notes -->
+
+<!-- C API usage examples. -->
+
+<section class="examples">
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <time.h>
+
+static double random_uniform( const double min, const double max ) {
+    double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+    return min + ( v*(max-min) );
+}
+
+int main( void ) {
+    double lambda;
+    double mu;
+    double x;
+    double y;
+    int i;
+
+    for ( i = 0; i < 10; i++ ) {
+        x = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        mu = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+        y = stdlib_base_dists_wald_logcdf( x, mu, lambda );
+        printf( "x: %lf, μ: %lf, λ: %lf, ln(F(x;μ,λ)): %lf\n", x, mu, lambda, y );
+    }
+}
+```
+
+</section>
+
+<!-- /.examples -->
+
+</section>
+
+<!-- /.c -->
+
+<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->
+
+<section class="related">
+
+</section>
+
+<!-- /.related -->
+
+<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
+<section class="links">
+
+[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function
+
+[wald-distribution]: https://en.wikipedia.org/wiki/Inverse_Gaussian_distribution
+
+[degenerate-distribution]: https://en.wikipedia.org/wiki/Degenerate_distribution
+
+</section>
+
+<!-- /.links -->
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.js
new file mode 100644
index 000000000000..390962b3f302
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.js
@@ -0,0 +1,90 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var logcdf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+	var arrayOpts;
+	var lambda;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	arrayOpts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, arrayOpts );
+	mu = uniform( 100, EPS, 50.0, arrayOpts );
+	lambda = uniform( 100, EPS, 20.0, arrayOpts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = logcdf( x[ i % x.length ], mu[ i % mu.length ], lambda[ i % lambda.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
+
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
+	var arrayOpts;
+	var mylogcdf;
+	var x;
+	var y;
+	var i;
+
+	arrayOpts = {
+		'dtype': 'float64'
+	};
+	mylogcdf = logcdf.factory( 1.0, 1.5 );
+	x = uniform( 100, EPS, 10.0, arrayOpts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = mylogcdf( x[ i % x.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..27c59ac3c43d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/benchmark.native.js
@@ -0,0 +1,71 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var logcdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( logcdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+	var arrayOpts;
+	var lambda;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	arrayOpts = {
+		'dtype': 'float64'
+	};
+	x = uniform( 100, EPS, 100.0, arrayOpts );
+	mu = uniform( 100, EPS, 50.0, arrayOpts );
+	lambda = uniform( 100, EPS, 20.0, arrayOpts );
+
+	b.tic();
+	for ( i = 0; i < b.iterations; i++ ) {
+		y = logcdf( x[ i % x.length ], mu[ i % mu.length ], lambda[ i % lambda.length ] );
+		if ( isnan( y ) ) {
+			b.fail( 'should not return NaN' );
+		}
+	}
+	b.toc();
+	if ( isnan( y ) ) {
+		b.fail( 'should not return NaN' );
+	}
+	b.pass( 'benchmark finished' );
+	b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+	QUIET := @
+else
+	QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+	OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+	CC := $(C_COMPILER)
+else
+	CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+	-std=c99 \
+	-O3 \
+	-Wall \
+	-pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+	fPIC ?=
+else
+	fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := benchmark.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+	$(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled benchmarks.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+	$(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+	$(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..98f51a79a407
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/benchmark/c/benchmark.c
@@ -0,0 +1,143 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <math.h>
+#include <time.h>
+#include <sys/time.h>
+
+#define NAME "wald-logcdf"
+#define ITERATIONS 1000000
+#define REPEATS 3
+
+/**
+* Prints the TAP version.
+*/
+static void print_version( void ) {
+	printf( "TAP version 13\n" );
+}
+
+/**
+* Prints the TAP summary.
+*
+* @param total     total number of tests
+* @param passing   total number of passing tests
+*/
+static void print_summary( int total, int passing ) {
+	printf( "#\n" );
+	printf( "1..%d\n", total ); // TAP plan
+	printf( "# total %d\n", total );
+	printf( "# pass  %d\n", passing );
+	printf( "#\n" );
+	printf( "# ok\n" );
+}
+
+/**
+* Prints benchmarks results.
+*
+* @param elapsed   elapsed time in seconds
+*/
+static void print_results( double elapsed ) {
+	double rate = (double)ITERATIONS / elapsed;
+	printf( "  ---\n" );
+	printf( "  iterations: %d\n", ITERATIONS );
+	printf( "  elapsed: %0.9f\n", elapsed );
+	printf( "  rate: %0.9f\n", rate );
+	printf( "  ...\n" );
+}
+
+/**
+* Returns a clock time.
+*
+* @return clock time
+*/
+static double tic( void ) {
+	struct timeval now;
+	gettimeofday( &now, NULL );
+	return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+}
+
+/**
+* Generates a random number on the interval [min,max).
+*
+* @param min    minimum value (inclusive)
+* @param max    maximum value (exclusive)
+* @return       random number
+*/
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+	double lambda[ 100 ];
+	double mu[ 100 ];
+	double x[ 100 ];
+	double elapsed;
+	double y;
+	double t;
+	int i;
+
+	for ( i = 0; i < 100; i++ ) {
+		x[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+		mu[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 50.0 );
+		lambda[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+	}
+
+	t = tic();
+	for ( i = 0; i < ITERATIONS; i++ ) {
+		y = stdlib_base_dists_wald_logcdf( x[ i%100 ], mu[ i%100 ], lambda[ i%100 ] );
+		if ( y != y ) {
+			printf( "should not return NaN\n" );
+			break;
+		}
+	}
+	elapsed = tic() - t;
+	if ( y != y ) {
+		printf( "should not return NaN\n" );
+	}
+	return elapsed;
+}
+
+/**
+* Main execution sequence.
+*/
+int main( void ) {
+	double elapsed;
+	int i;
+
+	// Use the current time to seed the random number generator:
+	srand( time( NULL ) );
+
+	print_version();
+	for ( i = 0; i < REPEATS; i++ ) {
+		printf( "# c::%s\n", NAME );
+		elapsed = benchmark();
+		print_results( elapsed );
+		printf( "ok %d benchmark finished\n", i+1 );
+	}
+	print_summary( REPEATS, REPEATS );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/binding.gyp
@@ -0,0 +1,170 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# A `.gyp` file for building a Node.js native add-on.
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+  # List of files to include in this file:
+  'includes': [
+    './include.gypi',
+  ],
+
+  # Define variables to be used throughout the configuration for all targets:
+  'variables': {
+    # Target name should match the add-on export name:
+    'addon_target_name%': 'addon',
+
+    # Set variables based on the host OS:
+    'conditions': [
+      [
+        'OS=="win"',
+        {
+          # Define the object file suffix:
+          'obj': 'obj',
+        },
+        {
+          # Define the object file suffix:
+          'obj': 'o',
+        }
+      ], # end condition (OS=="win")
+    ], # end conditions
+  }, # end variables
+
+  # Define compile targets:
+  'targets': [
+
+    # Target to generate an add-on:
+    {
+      # The target name should match the add-on export name:
+      'target_name': '<(addon_target_name)',
+
+      # Define dependencies:
+      'dependencies': [],
+
+      # Define directories which contain relevant include headers:
+      'include_dirs': [
+        # Local include directory:
+        '<@(include_dirs)',
+      ],
+
+      # List of source files:
+      'sources': [
+        '<@(src_files)',
+      ],
+
+      # Settings which should be applied when a target's object files are used as linker input:
+      'link_settings': {
+        # Define libraries:
+        'libraries': [
+          '<@(libraries)',
+        ],
+
+        # Define library directories:
+        'library_dirs': [
+          '<@(library_dirs)',
+        ],
+      },
+
+      # C/C++ compiler flags:
+      'cflags': [
+        # Enable commonly used warning options:
+        '-Wall',
+
+        # Aggressive optimization:
+        '-O3',
+      ],
+
+      # C specific compiler flags:
+      'cflags_c': [
+        # Specify the C standard to which a program is expected to conform:
+        '-std=c99',
+      ],
+
+      # C++ specific compiler flags:
+      'cflags_cpp': [
+        # Specify the C++ standard to which a program is expected to conform:
+        '-std=c++11',
+      ],
+
+      # Linker flags:
+      'ldflags': [],
+
+      # Apply conditions based on the host OS:
+      'conditions': [
+        [
+          'OS=="mac"',
+          {
+            # Linker flags:
+            'ldflags': [
+              '-undefined dynamic_lookup',
+              '-Wl,-no-pie',
+              '-Wl,-search_paths_first',
+            ],
+          },
+        ], # end condition (OS=="mac")
+        [
+          'OS!="win"',
+          {
+            # C/C++ flags:
+            'cflags': [
+              # Generate platform-independent code:
+              '-fPIC',
+            ],
+          },
+        ], # end condition (OS!="win")
+      ], # end conditions
+    }, # end target <(addon_target_name)
+
+    # Target to copy a generated add-on to a standard location:
+    {
+      'target_name': 'copy_addon',
+
+      # Declare that the output of this target is not linked:
+      'type': 'none',
+
+      # Define dependencies:
+      'dependencies': [
+        # Require that the add-on be generated before building this target:
+        '<(addon_target_name)',
+      ],
+
+      # Define a list of actions:
+      'actions': [
+        {
+          'action_name': 'copy_addon',
+          'message': 'Copying addon...',
+
+          # Explicitly list the inputs in the command-line invocation below:
+          'inputs': [],
+
+          # Declare the expected outputs:
+          'outputs': [
+            '<(addon_output_dir)/<(addon_target_name).node',
+          ],
+
+          # Define the command-line invocation:
+          'action': [
+            'cp',
+            '<(PRODUCT_DIR)/<(addon_target_name).node',
+            '<(addon_output_dir)/<(addon_target_name).node',
+          ],
+        },
+      ], # end actions
+    }, # end target copy_addon
+  ], # end targets
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/repl.txt
new file mode 100644
index 000000000000..1e1d2d056668
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/repl.txt
@@ -0,0 +1,83 @@
+
+{{alias}}( x, μ, λ )
+    Evaluates the natural logarithm of the cumulative distribution function
+    (CDF) for a Wald distribution with mean `μ` and shape parameter `λ` at a
+    value `x`.
+
+    If provided `NaN` as any argument, the function returns `NaN`.
+
+    If provided `μ <= 0`, the function returns `NaN`.
+
+    If provided `λ < 0`, the function returns `NaN`.
+
+    Parameters
+    ----------
+    x: number
+        Input value.
+
+    μ: number
+        Mean parameter.
+
+    λ: number
+        Shape parameter.
+
+    Returns
+    -------
+    out: number
+        Evaluated logCDF.
+
+    Examples
+    --------
+    > var y = {{alias}}( 2.0, 1.0, 1.0 )
+    ~-0.122
+    > y = {{alias}}( 0.5, 2.0, 3.0 )
+    ~-2.897
+    > y = {{alias}}( -1.0, 4.0, 2.0 )
+    -Infinity
+    > y = {{alias}}( NaN, 1.0, 1.0 )
+    NaN
+    > y = {{alias}}( 0.0, NaN, 1.0 )
+    NaN
+    > y = {{alias}}( 0.0, 1.0, NaN )
+    NaN
+
+    // Negative shape parameter:
+    > y = {{alias}}( 2.0, 1.0, -1.0 )
+    NaN
+
+    // Degenerate distribution when `λ = 0.0`:
+    > y = {{alias}}( 2.0, 8.0, 0.0 )
+    -Infinity
+    > y = {{alias}}( 8.0, 8.0, 0.0 )
+    0.0
+    > y = {{alias}}( 10.0, 8.0, 0.0 )
+    0.0
+
+
+{{alias}}.factory( μ, λ )
+    Returns a function for evaluating the natural logarithm of the cumulative
+    distribution function (CDF) of a Wald distribution with mean `μ` and shape
+    parameter `λ`.
+
+    Parameters
+    ----------
+    μ: number
+        Mean parameter.
+
+    λ: number
+        Shape parameter.
+
+    Returns
+    -------
+    logcdf: Function
+        Logarithm of cumulative distribution function (CDF).
+
+    Examples
+    --------
+    > var mylogcdf = {{alias}}.factory( 10.0, 2.0 );
+    > var y = mylogcdf( 10.0 )
+    ~-0.253
+
+    See Also
+    --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/index.d.ts
new file mode 100644
index 000000000000..a4616fbf0a4c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/index.d.ts
@@ -0,0 +1,121 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.
+*
+* @param x - input value
+* @returns evaluated logCDF
+*/
+type Unary = ( x: number ) => number;
+
+/**
+* Interface for the natural logarithm of the cumulative distribution function (CDF) of a Wald distribution.
+*/
+interface LogCDF {
+	/**
+	* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+	*
+	* ## Notes
+	*
+	* -   If provided `mu <= 0` or `lambda < 0`, the function returns `NaN`.
+	*
+	* @param x - input value
+	* @param mu - mean
+	* @param lambda - shape parameter
+	* @returns evaluated logCDF
+	*
+	* @example
+	* var y = logcdf( 2.0, 1.0, 1.0 );
+	* // returns ~-0.122
+	*
+	* @example
+	* var y = logcdf( 0.5, 2.0, 3.0 );
+	* // returns ~-2.897
+	*
+	* @example
+	* var y = logcdf( NaN, 1.0, 1.0 );
+	* // returns NaN
+	*
+	* @example
+	* var y = logcdf( 0.0, NaN, 1.0 );
+	* // returns NaN
+	*
+	* @example
+	* var y = logcdf( 0.0, 1.0, NaN );
+	* // returns NaN
+	*
+	* @example
+	* // Nonpositive mean:
+	* var y = logcdf( 2.0, 0.0, 1.0 );
+	* // returns NaN
+	*
+	* @example
+	* // Negative shape parameter:
+	* var y = logcdf( 2.0, 1.0, -1.0 );
+	* // returns NaN
+	*
+	* @example
+	* // Degenerate distribution when `lambda = 0.0`:
+	* var y = logcdf( 2.0, 8.0, 0.0 );
+	* // returns -Infinity
+	*/
+	( x: number, mu: number, lambda: number ): number;
+
+	/**
+	* Returns a function for evaluating the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.
+	*
+	* @param mu - mean
+	* @param lambda - shape parameter
+	* @returns function to evaluate the natural logarithm of the cumulative distribution function
+	*
+	* @example
+	* var mylogcdf = logcdf.factory( 10.0, 2.0 );
+	* var y = mylogcdf( 10.0 );
+	* // returns ~-0.253
+	*
+	* y = mylogcdf( 12.0 );
+	* // returns ~-0.213
+	*/
+	factory( mu: number, lambda: number ): Unary;
+}
+
+/**
+* Wald distribution natural logarithm of the cumulative distribution function (CDF).
+*
+* @param x - input value
+* @param mu - mean
+* @param lambda - shape parameter
+* @returns evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* var mylogcdf = logcdf.factory( 10.0, 2.0 );
+* y = mylogcdf( 10.0 );
+* // returns ~-0.253
+*/
+declare var logcdf: LogCDF;
+
+
+// EXPORTS //
+
+export = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/test.ts
new file mode 100644
index 000000000000..784bffdc827a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/docs/types/test.ts
@@ -0,0 +1,119 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import logcdf = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+	logcdf( 2, 2, 4 ); // $ExpectType number
+	logcdf( 1, 2, 8 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided values other than three numbers...
+{
+	logcdf( true, 3, 6 ); // $ExpectError
+	logcdf( false, 2, 4 ); // $ExpectError
+	logcdf( '5', 1, 2 ); // $ExpectError
+	logcdf( [], 1, 2 ); // $ExpectError
+	logcdf( {}, 2, 4 ); // $ExpectError
+	logcdf( ( x: number ): number => x, 2, 4 ); // $ExpectError
+
+	logcdf( 9, true, 12 ); // $ExpectError
+	logcdf( 9, false, 12 ); // $ExpectError
+	logcdf( 5, '5', 10 ); // $ExpectError
+	logcdf( 8, [], 16 ); // $ExpectError
+	logcdf( 9, {}, 18 ); // $ExpectError
+	logcdf( 8, ( x: number ): number => x, 16 ); // $ExpectError
+
+	logcdf( 9, 5, true ); // $ExpectError
+	logcdf( 9, 5, false ); // $ExpectError
+	logcdf( 5, 2, '5' ); // $ExpectError
+	logcdf( 8, 4, [] ); // $ExpectError
+	logcdf( 9, 4, {} ); // $ExpectError
+	logcdf( 8, 5, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+	logcdf(); // $ExpectError
+	logcdf( 2 ); // $ExpectError
+	logcdf( 2, 0 ); // $ExpectError
+	logcdf( 2, 0, 4, 1 ); // $ExpectError
+}
+
+// Attached to main export is a `factory` method which returns a function...
+{
+	logcdf.factory( 3, 4 ); // $ExpectType Unary
+}
+
+// The `factory` method returns a function which returns a number...
+{
+	const fcn = logcdf.factory( 3, 4 );
+	fcn( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided invalid arguments...
+{
+	const fcn = logcdf.factory( 3, 4 );
+	fcn( true ); // $ExpectError
+	fcn( false ); // $ExpectError
+	fcn( '5' ); // $ExpectError
+	fcn( [] ); // $ExpectError
+	fcn( {} ); // $ExpectError
+	fcn( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an unsupported number of arguments...
+{
+	const fcn = logcdf.factory( 3, 4 );
+	fcn(); // $ExpectError
+	fcn( 2, 0 ); // $ExpectError
+	fcn( 2, 0, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided values other than two numbers...
+{
+	logcdf.factory( true, 3 ); // $ExpectError
+	logcdf.factory( false, 2 ); // $ExpectError
+	logcdf.factory( '5', 1 ); // $ExpectError
+	logcdf.factory( [], 1 ); // $ExpectError
+	logcdf.factory( {}, 2 ); // $ExpectError
+	logcdf.factory( ( x: number ): number => x, 2 ); // $ExpectError
+
+	logcdf.factory( 9, true ); // $ExpectError
+	logcdf.factory( 9, false ); // $ExpectError
+	logcdf.factory( 5, '5' ); // $ExpectError
+	logcdf.factory( 8, [] ); // $ExpectError
+	logcdf.factory( 9, {} ); // $ExpectError
+	logcdf.factory( 8, ( x: number ): number => x ); // $ExpectError
+
+	logcdf.factory( [], true ); // $ExpectError
+	logcdf.factory( {}, false ); // $ExpectError
+	logcdf.factory( false, '5' ); // $ExpectError
+	logcdf.factory( {}, [] ); // $ExpectError
+	logcdf.factory( '5', ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
+{
+	logcdf.factory( 0 ); // $ExpectError
+	logcdf.factory( 0, 4, 8 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+	QUIET := @
+else
+	QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+	OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+	CC := $(C_COMPILER)
+else
+	CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+	-std=c99 \
+	-O3 \
+	-Wall \
+	-pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+	fPIC ?=
+else
+	fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := example.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+	$(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled examples.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+	$(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+	$(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/example.c
new file mode 100644
index 000000000000..a7ef62dcc032
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/c/example.c
@@ -0,0 +1,44 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include <stdlib.h>
+#include <stdio.h>
+#include <time.h>
+
+static double random_uniform( const double min, const double max ) {
+	double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+	return min + ( v*(max-min) );
+}
+
+int main( void ) {
+	double lambda;
+	double mu;
+	double x;
+	double y;
+	int i;
+
+	for ( i = 0; i < 10; i++ ) {
+		x = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		mu = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		y = stdlib_base_dists_wald_logcdf( x, mu, lambda );
+		printf( "x: %lf, μ: %lf, λ: %lf, ln(F(x;μ,λ)): %lf\n", x, mu, lambda, y );
+	}
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/index.js
new file mode 100644
index 000000000000..81fc7d325ec0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var logcdf = require( './../lib' );
+
+var opts = {
+	'dtype': 'float64'
+};
+var x = uniform( 10, EPS, 10.0, opts );
+var mu = uniform( 10, EPS, 10.0, opts );
+var lambda = uniform( 10, EPS, 20.0, opts );
+
+logEachMap( 'x: %0.4f, μ: %0.4f, λ: %0.4f, ln(F(x;μ,λ)): %0.4f', x, mu, lambda, logcdf );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include.gypi
@@ -0,0 +1,53 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# A GYP include file for building a Node.js native add-on.
+#
+# Main documentation:
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+  # Define variables to be used throughout the configuration for all targets:
+  'variables': {
+    # Source directory:
+    'src_dir': './src',
+
+    # Include directories:
+    'include_dirs': [
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).include; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+
+    # Add-on destination directory:
+    'addon_output_dir': './src',
+
+    # Source files:
+    'src_files': [
+      '<(src_dir)/addon.c',
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).src; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+
+    # Library dependencies:
+    'libraries': [
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).libraries; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+
+    # Library directories:
+    'library_dirs': [
+      '<!@(node -e "var arr = require(\'@stdlib/utils/library-manifest\')(\'./manifest.json\',{},{\'basedir\':process.cwd(),\'paths\':\'posix\'}).libpath; for ( var i = 0; i < arr.length; i++ ) { console.log( arr[ i ] ); }")',
+    ],
+  }, # end variables
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include/stdlib/stats/base/dists/wald/logcdf.h b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include/stdlib/stats/base/dists/wald/logcdf.h
new file mode 100644
index 000000000000..6fb7cf63c8ba
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/include/stdlib/stats/base/dists/wald/logcdf.h
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#ifndef STDLIB_STATS_BASE_DISTS_WALD_LOGCDF_H
+#define STDLIB_STATS_BASE_DISTS_WALD_LOGCDF_H
+
+/*
+* If C++, prevent name mangling so that the compiler emits a binary file having undecorated names, thus mirroring the behavior of a C compiler.
+*/
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*/
+double stdlib_base_dists_wald_logcdf( const double x, const double mu, const double lambda );
+
+#ifdef __cplusplus
+}
+#endif
+
+#endif // !STDLIB_STATS_BASE_DISTS_WALD_LOGCDF_H
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/factory.js
new file mode 100644
index 000000000000..26f9564c1675
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/factory.js
@@ -0,0 +1,109 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var constantFunction = require( '@stdlib/utils/constant-function' );
+var degenerate = require( '@stdlib/stats/base/dists/degenerate/logcdf' ).factory;
+var normalLogcdf = require( '@stdlib/stats/base/dists/normal/logcdf' );
+var log1pexp = require( '@stdlib/math/base/special/log1pexp' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// MAIN //
+
+/**
+* Returns a function for evaluating the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.
+*
+* @param {PositiveNumber} mu - mean
+* @param {NonNegativeNumber} lambda - shape parameter
+* @returns {Function} function to evaluate the natural logarithm of the cumulative distribution function
+*
+* @example
+* var logcdf = factory( 1.0, 1.0 );
+* var y = logcdf( 2.0 );
+* // returns ~-0.122
+*
+* y = logcdf( 0.5 );
+* // returns ~-1.008
+*/
+function factory( mu, lambda ) {
+	var c;
+	if (
+		isnan( mu ) ||
+		isnan( lambda ) ||
+		mu <= 0.0 ||
+		lambda < 0.0
+	) {
+		return constantFunction( NaN );
+	}
+	if ( lambda === 0.0 ) {
+		return degenerate( mu );
+	}
+	c = ( 2.0 * lambda ) / mu;
+	return logcdf;
+
+	/**
+	* Evaluates the natural logarithm of the cumulative distribution function (CDF) of a Wald distribution.
+	*
+	* @private
+	* @param {number} x - input value
+	* @returns {number} evaluated logCDF
+	*
+	* @example
+	* var y = logcdf( 2.0 );
+	* // returns <number>
+	*/
+	function logcdf( x ) {
+		var a;
+		var b;
+		var v;
+		var z;
+
+		if ( isnan( x ) ) {
+			return NaN;
+		}
+		if ( x <= 0.0 ) {
+			return NINF;
+		}
+		if ( x === PINF ) {
+			return 0.0;
+		}
+		z = sqrt( lambda / x );
+		v = x / mu;
+
+		// First term: ln( Φ( √(λ/x)·(x/μ-1) ) ):
+		a = normalLogcdf( z * ( v - 1.0 ), 0.0, 1.0 );
+
+		// Second term, in log-space to avoid overflow of exp( 2λ/μ ):
+		b = c + normalLogcdf( -z * ( v + 1.0 ), 0.0, 1.0 );
+
+		// Sum the terms in log-space: ln( e^a + e^b ) = a + ln( 1 + e^(b-a) ):
+		return a + log1pexp( b - a );
+	}
+}
+
+
+// EXPORTS //
+
+module.exports = factory;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/index.js
new file mode 100644
index 000000000000..058cb6fda782
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/index.js
@@ -0,0 +1,51 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Wald distribution natural logarithm of cumulative distribution function (CDF).
+*
+* @module @stdlib/stats/base/dists/wald/logcdf
+*
+* @example
+* var logcdf = require( '@stdlib/stats/base/dists/wald/logcdf' );
+*
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* var mylogcdf = logcdf.factory( 2.0, 1.0 );
+* y = mylogcdf( 2.0 );
+* // returns ~-0.337
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var factory = require( './factory.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'factory', factory );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/main.js
new file mode 100644
index 000000000000..ccc8885bc80f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/main.js
@@ -0,0 +1,120 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var normalLogcdf = require( '@stdlib/stats/base/dists/normal/logcdf' );
+var log1pexp = require( '@stdlib/math/base/special/log1pexp' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// MAIN //
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*
+* @param {number} x - input value
+* @param {PositiveNumber} mu - mean
+* @param {NonNegativeNumber} lambda - shape parameter
+* @returns {number} evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* @example
+* var y = logcdf( 0.5, 2.0, 3.0 );
+* // returns ~-2.897
+*
+* @example
+* var y = logcdf( NaN, 1.0, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, NaN, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, 1.0, NaN );
+* // returns NaN
+*
+* @example
+* // Non-positive mean:
+* var y = logcdf( 2.0, 0.0, 1.0 );
+* // returns NaN
+*
+* @example
+* // Negative shape parameter:
+* var y = logcdf( 2.0, 1.0, -1.0 );
+* // returns NaN
+*
+* @example
+* // Zero shape parameter (degenerate distribution):
+* var y = logcdf( 1.0, 1.0, 0.0 );
+* // returns 0.0
+*
+* @example
+* var y = logcdf( 0.0, 1.0, 1.0 );
+* // returns -Infinity
+*/
+function logcdf( x, mu, lambda ) {
+	var a;
+	var b;
+	var v;
+	var z;
+
+	if (
+		isnan( x ) ||
+		isnan( mu ) ||
+		isnan( lambda ) ||
+		mu <= 0.0 ||
+		lambda < 0.0
+	) {
+		return NaN;
+	}
+	if ( lambda === 0.0 ) {
+		return ( x < mu ) ? NINF : 0.0;
+	}
+	if ( x <= 0.0 ) {
+		return NINF;
+	}
+	if ( x === PINF ) {
+		return 0.0;
+	}
+	z = sqrt( lambda / x );
+	v = x / mu;
+
+	// First term: ln( Φ( √(λ/x)·(x/μ-1) ) ):
+	a = normalLogcdf( z * ( v - 1.0 ), 0.0, 1.0 );
+
+	// Second term, in log-space to avoid overflow of exp( 2λ/μ ):
+	b = ( ( 2.0 * lambda ) / mu ) + normalLogcdf( -z * ( v + 1.0 ), 0.0, 1.0 );
+
+	// Sum the terms in log-space: ln( e^a + e^b ) = a + ln( 1 + e^(b-a) ):
+	return a + log1pexp( b - a );
+}
+
+
+// EXPORTS //
+
+module.exports = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/native.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/native.js
new file mode 100644
index 000000000000..0118420b5470
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/lib/native.js
@@ -0,0 +1,83 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*
+* @private
+* @param {number} x - input value
+* @param {PositiveNumber} mu - mean
+* @param {number} lambda - shape parameter
+* @returns {number} evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*
+* @example
+* var y = logcdf( 0.5, 2.0, 3.0 );
+* // returns ~-2.897
+*
+* @example
+* var y = logcdf( NaN, 1.0, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, NaN, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 1.0, 1.0, NaN );
+* // returns NaN
+*
+* @example
+* // Non-positive mean:
+* var y = logcdf( 2.0, 0.0, 1.0 );
+* // returns NaN
+*
+* @example
+* // Negative shape parameter:
+* var y = logcdf( 2.0, 1.0, -1.0 );
+* // returns NaN
+*
+* @example
+* // Zero shape parameter (degenerate distribution):
+* var y = logcdf( 1.0, 1.0, 0.0 );
+* // returns 0.0
+*
+* @example
+* var y = logcdf( 0.0, 1.0, 1.0 );
+* // returns -Infinity
+*/
+function logcdf( x, mu, lambda ) {
+	return addon( x, mu, lambda );
+}
+
+
+// EXPORTS //
+
+module.exports = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/manifest.json b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/manifest.json
new file mode 100644
index 000000000000..d5f9501d698f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/manifest.json
@@ -0,0 +1,93 @@
+{
+  "options": {
+    "task": "build",
+    "wasm": false
+  },
+  "fields": [
+    {
+      "field": "src",
+      "resolve": true,
+      "relative": true
+    },
+    {
+      "field": "include",
+      "resolve": true,
+      "relative": true
+    },
+    {
+      "field": "libraries",
+      "resolve": false,
+      "relative": false
+    },
+    {
+      "field": "libpath",
+      "resolve": true,
+      "relative": false
+    }
+  ],
+  "confs": [
+    {
+      "task": "build",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/napi/ternary",
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/special/log1pexp",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/stats/base/dists/normal/logcdf",
+        "@stdlib/constants/float64/pinf",
+        "@stdlib/constants/float64/ninf"
+      ]
+    },
+    {
+      "task": "benchmark",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/special/log1pexp",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/stats/base/dists/normal/logcdf",
+        "@stdlib/constants/float64/pinf",
+        "@stdlib/constants/float64/ninf",
+        "@stdlib/constants/float64/eps"
+      ]
+    },
+    {
+      "task": "examples",
+      "wasm": false,
+      "src": [
+        "./src/main.c"
+      ],
+      "include": [
+        "./include"
+      ],
+      "libraries": [],
+      "libpath": [],
+      "dependencies": [
+        "@stdlib/math/base/assert/is-nan",
+        "@stdlib/math/base/special/log1pexp",
+        "@stdlib/math/base/special/sqrt",
+        "@stdlib/stats/base/dists/normal/logcdf",
+        "@stdlib/constants/float64/pinf",
+        "@stdlib/constants/float64/ninf",
+        "@stdlib/constants/float64/eps"
+      ]
+    }
+  ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/package.json b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/package.json
new file mode 100644
index 000000000000..a3fb80dec351
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/package.json
@@ -0,0 +1,73 @@
+{
+  "name": "@stdlib/stats/base/dists/wald/logcdf",
+  "version": "0.0.0",
+  "description": "Natural logarithm of the cumulative distribution function (CDF) for a Wald distribution.",
+  "license": "Apache-2.0",
+  "author": {
+    "name": "The Stdlib Authors",
+    "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+  },
+  "contributors": [
+    {
+      "name": "The Stdlib Authors",
+      "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+    }
+  ],
+  "main": "./lib",
+  "gypfile": true,
+  "directories": {
+    "benchmark": "./benchmark",
+    "doc": "./docs",
+    "example": "./examples",
+    "include": "./include",
+    "lib": "./lib",
+    "src": "./src",
+    "test": "./test"
+  },
+  "types": "./docs/types",
+  "scripts": {},
+  "homepage": "https://github.com/stdlib-js/stdlib",
+  "repository": {
+    "type": "git",
+    "url": "git://github.com/stdlib-js/stdlib.git"
+  },
+  "bugs": {
+    "url": "https://github.com/stdlib-js/stdlib/issues"
+  },
+  "dependencies": {},
+  "devDependencies": {},
+  "engines": {
+    "node": ">=0.10.0",
+    "npm": ">2.7.0"
+  },
+  "os": [
+    "aix",
+    "darwin",
+    "freebsd",
+    "linux",
+    "macos",
+    "openbsd",
+    "sunos",
+    "win32",
+    "windows"
+  ],
+  "keywords": [
+    "stdlib",
+    "stdmath",
+    "statistics",
+    "stats",
+    "distribution",
+    "dist",
+    "probability",
+    "cdf",
+    "logcdf",
+    "cumulative distribution",
+    "distribution function",
+    "logarithm",
+    "inverse gaussian",
+    "inverse-gaussian",
+    "wald",
+    "univariate",
+    "continuous"
+  ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/Makefile b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+	QUIET := @
+else
+	QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+	OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+	OS := WINNT
+endif
+endif
+endif
+endif
+
+
+# RULES #
+
+#/
+# Removes generated files for building an add-on.
+#
+# @example
+# make clean-addon
+#/
+clean-addon:
+	$(QUIET) -rm -f *.o *.node
+
+.PHONY: clean-addon
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean: clean-addon
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/addon.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/addon.c
new file mode 100644
index 000000000000..2c546488b674
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/math/base/napi/ternary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_DDD_D( stdlib_base_dists_wald_logcdf )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/main.c
new file mode 100644
index 000000000000..6b7b4647d5d5
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/src/main.c
@@ -0,0 +1,74 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/wald/logcdf.h"
+#include "stdlib/stats/base/dists/normal/logcdf.h"
+#include "stdlib/math/base/assert/is_nan.h"
+#include "stdlib/math/base/special/log1pexp.h"
+#include "stdlib/math/base/special/sqrt.h"
+#include "stdlib/constants/float64/pinf.h"
+#include "stdlib/constants/float64/ninf.h"
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Wald distribution with mean `mu` and shape parameter `lambda` at a value `x`.
+*
+* @param x         input value
+* @param mu        mean
+* @param lambda    shape parameter
+* @return          evaluated logCDF
+*
+* @example
+* double y = stdlib_base_dists_wald_logcdf( 2.0, 1.0, 1.0 );
+* // returns ~-0.122
+*/
+double stdlib_base_dists_wald_logcdf( const double x, const double mu, const double lambda ) {
+	double a;
+	double b;
+	double v;
+	double z;
+
+	if (
+		stdlib_base_is_nan( x ) ||
+		stdlib_base_is_nan( mu ) ||
+		stdlib_base_is_nan( lambda ) ||
+		mu <= 0.0 ||
+		lambda < 0.0
+	) {
+		return 0.0 / 0.0; // NaN
+	}
+	if ( lambda == 0.0 ) {
+		return ( x < mu ) ? STDLIB_CONSTANT_FLOAT64_NINF : 0.0;
+	}
+	if ( x <= 0.0 ) {
+		return STDLIB_CONSTANT_FLOAT64_NINF;
+	}
+	if ( x == STDLIB_CONSTANT_FLOAT64_PINF ) {
+		return 0.0;
+	}
+	z = stdlib_base_sqrt( lambda / x );
+	v = x / mu;
+
+	// First term: ln( Φ( √(λ/x)·(x/μ-1) ) ):
+	a = stdlib_base_dists_normal_logcdf( z * ( v - 1.0 ), 0.0, 1.0 );
+
+	// Second term, in log-space to avoid overflow of exp( 2λ/μ ):
+	b = ( ( 2.0 * lambda ) / mu ) + stdlib_base_dists_normal_logcdf( -z * ( v + 1.0 ), 0.0, 1.0 );
+
+	// Sum the terms in log-space: ln( e^a + e^b ) = a + ln( 1 + e^(b-a) ):
+	return a + stdlib_base_log1pexp( b - a );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..98be20b58ed3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/REQUIRE
@@ -0,0 +1,3 @@
+Distributions 0.23.8
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..2e699a2a0452
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/data.json
@@ -0,0 +1 @@
+{"expected":[-0.3821180827634222,-0.07912080700799984,-0.33862433119012963,-0.8556260694464137,-0.16333741314071965,-0.07761780151793704,-9.175601795528503e-24,-0.13453402573681386,-0.23234618313992772,-0.8596870242102908,-2.387138814840894,-1.695365363310557,-0.4036122945518386,-0.9008954627980195,-0.0012662203143284597,-0.11137237959976057,-0.0016110105624690691,-0.0867691179405918,-4.478403128420931e-29,-0.135935455367235,-0.8607293567268204,-1.29864591836839,-0.3381839556168812,-0.17755454426839362,-0.3202249080788569,-0.08084171816017868,-0.9459565514103956,-0.15551997418035335,-0.0889515045894328,-0.10218120158459978,-3.258665241052597e-5,-0.3092111716998122,-0.02430352154552152,-0.0003633322292988793,-0.8383528256896645,-0.36623917175271953,-1.1642869125945726e-20,-0.09355134292076306,-0.005384387593154178,-2.565312546088896,-4.607446552937712e-28,-0.04850994853140565,-0.12061007140723151,-0.49264360477503877,-0.11439755682885536,-0.1928636243241382,-0.00023690530724387285,-0.36734298629165607,-4.59214443450453,-0.1657592312929393,-0.00013898619053781612,-0.660222236296917,-0.003328428570885231,-0.3674400249190921,-0.23033253994353425,-0.7816961671167895,-1.2802620149039414,-0.13594455819950452,-0.18510671611387897,-0.016745284272829487,-0.9875618835787822,-0.09815459110285979,-0.08470448182663895,-0.43597528936207064,-0.09772680696655123,-0.36908432932428037,-0.8285237385250217,-0.7034055676683307,-0.334005738664796,-0.18569098420934665,-0.21652082950235368,-0.37947564915191234,-0.19667272905935113,-0.0029947897659826006,-0.347447234452384,-0.28112161029618343,-0.0008894017521918476,-0.2245394010087597,-0.15979550923643762,-0.1237615135660976,-0.09686952009889152,-0.3734841045740614,-8.422311221607939e-14,-0.21340321029839304,-0.32042878506146044,-0.19939328097202713,-0.279797745568347,-3.019617888914462e-9,-1.7365879268668094,-0.010732170881302343,-0.01693821481217428,-0.12806231312210897,-0.48844906543455446,-0.2746975400430869,-0.06776835995406198,-0.0725352126249339,-0.2108940088215318,-1.0255232372129064,-0.2768461124611029,-0.3466656715326828],"x":[8.176970368522735,14.699950957136616,7.399856276424404,3.5785530370839687,12.134483197488507,13.66027629964521,15.1763212566113,15.307040574149559,5.271531964386848,3.2698843703443874,0.7597087680656862,1.084535840489262,6.904650887901094,0.5495560142586227,12.163895083525858,13.052066308268754,5.877617717398893,13.627813991448535,7.7997287004130245,12.610196063648466,3.3028333238931964,2.5408489714536544,4.872231014593523,10.309957422847503,9.281086128131514,2.2801248162147343,1.8908262974543895,14.344453834224439,13.212803321345243,10.008493733982123,5.790165122795808,11.05885357205121,5.373421966899427,4.064996361766376,3.5170211986012903,4.854437450690207,12.089635897839731,13.260923349925488,4.333272568644501,0.7309136322867567,13.057822327182556,12.941307635794018,11.738408107278918,3.6596582727445437,12.350158480158818,7.755738836806834,9.358587778732371,4.463403783880839,0.5994943152460598,10.285255510573249,11.236265201007859,2.062849924665943,12.629585482444575,6.18734006944358,8.054602378784326,4.380533149467114,2.193384017663978,12.70187594504336,7.1216288433652455,9.701112476636132,3.5744883727382093,13.840405355525558,11.011482510763738,7.425976468663685,9.991078827772553,9.336990025079091,0.6878203013779134,3.0671871583715076,4.020937589666972,12.016127852949301,12.468035218643852,5.520112508134655,5.172768961884603,14.99558995135919,7.56798353841973,3.9848914754320406,12.718377437730297,12.17819039873291,7.740587959798203,9.898542618978261,13.546856057018969,6.228045068533032,4.067537227102244,11.481457785900151,8.551900031834307,14.600747283425383,2.2541813990905086,14.154163459149338,0.8611240495909346,8.355247708210294,14.993353515638347,9.906972277951096,2.751610351609056,8.432886205692784,11.565208786133127,15.392237604698838,14.551532246520932,1.1439086067484256,4.226568637927821,2.062804773488611],"lambda":[5.134494609604874,0.9731827907069724,2.771448162463563,4.2554376611906175,1.8642294094907659,4.981621897470267,4.569086608652158,3.8058710469662707,4.17054532078154,3.780027041127529,2.7059768403018643,2.9072847640233075,3.2522390834998163,2.042849250669401,3.7242306500775415,3.7940128373002615,0.6201270719385461,1.66161376180205,4.938427490576917,1.423293465524162,5.283573006139779,4.515817699287796,3.299840893532971,1.583940806799459,5.145676611883677,3.7975037217644285,2.1477437427820103,5.368032482202275,1.1216548522409497,4.816187409901678,4.181622827810449,5.123608360753709,1.8216915111133183,4.400044391137244,4.74330072341243,4.592676436767965,3.965775551345555,1.122144346211515,2.9823982337934165,2.62940573128035,3.9909107391663907,2.074268849011107,0.7284507301611993,3.6917878392559818,2.4534549843469673,3.0971004600010077,1.4736604057800808,2.2028021373603757,4.573250642393948,1.6152902869753283,2.140189168390027,3.5165193918895716,4.5131238183231455,2.2103942830739163,4.593305758085133,4.570311855719508,5.2975624886637,2.3697535162016834,0.9681839040857882,1.0507938399813135,4.856802721772531,1.0766901849938249,2.8057303233112156,4.347892803106083,4.055625884847416,5.113011803445795,2.4277319511258613,2.3772446827092795,1.592051054430521,1.6208946163698719,3.324387066170142,2.1912585915593557,0.8268740084538274,5.470405839135821,2.5235434816486197,2.60529941198979,1.1558370132408342,3.920139406622265,2.2965157410161576,0.5486569732497116,3.598371789422191,2.09773085753792,5.062107699426211,2.647798447447427,4.346471103419904,4.098841685701016,2.3496052573457877,0.6248009362618913,2.4700624700801193,2.312777240404789,4.20554566183363,0.7396252650156383,1.5046696432211317,2.1538102533042824,3.145846170746947,0.9126890602176181,5.4160470656827195,2.1072657653680205,3.1876816642134314,4.814615723189635],"mu":[8.730318890361664,4.809504080408425,8.385371165489456,8.704352008396507,7.320168440156022,5.440248732854268,0.8085706457806159,7.607597787908723,3.7263923347005994,8.330015185458358,5.8450313687739115,4.509781281164594,9.03091617370392,0.7415570318665228,2.1424784486671995,5.882105700306841,0.7085787274642348,4.903357742383686,0.5286886662319574,6.589442736635727,6.171648640911516,10.37068122975021,4.5262438950554005,6.856548103783643,8.55336359855843,1.2220288944423714,6.506446558786692,7.918642863512814,4.758716011741414,4.634763268139105,1.0832958388409237,10.288364800516485,1.5133710448680944,1.022410554156707,7.215396550160252,4.5460226921561295,0.722749196440859,4.977000708339358,1.1902872523856585,8.974861725156826,0.6414177796996585,3.663502579098918,6.163792859583731,4.371708351827246,5.4765618690054945,4.916380729574466,1.0883476069368232,4.974374755454179,7.80514905694416,6.278188903494237,1.3537164051156032,2.7449589981292464,2.620853460615315,8.290261233002962,5.691943641148256,10.14414279467756,5.474677366849933,6.346759937336101,5.228402619406513,1.7820397345407397,10.316343113135309,5.439943466702017,4.277275031206288,9.636938202569102,4.429691688446331,10.046244786435159,0.8891464889897267,8.065214870644448,4.346382242995629,8.892906655929387,9.095635599359952,7.2731617524976855,3.8876296170260947,3.095035841331871,9.60798801055265,3.2067103461195208,1.3468268343362029,8.895999602996216,4.328120306768233,5.707112896891352,5.634684531258972,9.046649487763807,0.5473860998421949,8.525891189053423,8.056384346031312,9.751245483947484,1.7619806504801245,0.5347970792894214,3.371370691633542,1.8848157872335032,3.7003693064888483,5.320402805064984,4.533641554208023,8.452365243325282,4.143652408227114,4.688715887645365,9.893499611076287,2.516508055739906,3.326231141800226,1.772787065961154]}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..b930c494718a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/fixtures/julia/runner.jl
@@ -0,0 +1,77 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import Distributions: logcdf, InverseGaussian
+import JSON
+
+"""
+	gen( x, mu, lambda, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `x`: input value
+* `mu`: mean
+* `lambda`: shape parameter
+* `name::AbstractString`: output filename
+
+# Examples
+
+``` julia
+julia> x = rand( 100 ) .* 15.0 .+ 0.5;
+julia> mu = rand( 100 ) .* 10.0 .+ 0.5;
+julia> lambda = rand( 100 ) .* 5.0 .+ 0.5;
+julia> gen( x, mu, lambda, "data.json" );
+```
+"""
+function gen( x, mu, lambda, name )
+	z = Array{Float64}( undef, length(x) );
+	for i in eachindex(x)
+		z[ i ] = logcdf( InverseGaussian( mu[i], lambda[i] ), x[i] );
+	end
+
+	# Store data to be written to file as a collection:
+	data = Dict([
+		("x", x),
+		("mu", mu),
+		("lambda", lambda),
+		("expected", z)
+	]);
+
+	# Based on the script directory, create an output filepath:
+	filepath = joinpath( dir, name );
+
+	# Write the data to the output filepath as JSON:
+	outfile = open( filepath, "w" );
+	write( outfile, JSON.json(data) );
+	write( outfile, "\n" );
+	close( outfile );
+end
+
+# Get the filename:
+file = @__FILE__;
+
+# Extract the directory in which this file resides:
+dir = dirname( file );
+
+# Generate fixtures:
+x = rand( 100 ) .* 15.0 .+ 0.5;
+mu = rand( 100 ) .* 10.0 .+ 0.5;
+lambda = rand( 100 ) .* 5.0 .+ 0.5;
+gen( x, mu, lambda, "data.json" );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.factory.js
new file mode 100644
index 000000000000..3fbd9ddee70f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.factory.js
@@ -0,0 +1,198 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var factory = require( './../lib/factory.js' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof factory, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'the function returns a function', function test( t ) {
+	var logcdf = factory( 1.0, 1.0 );
+	t.strictEqual( typeof logcdf, 'function', 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 1.0, 1.0 );
+	y = logcdf( NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, 1.0 );
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( 1.0, NaN );
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, NaN );
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, NaN );
+	y = logcdf( NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a valid `mu` and `lambda`, the function returns a function which returns `0` when provided `+infinity` for `x`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 1.0, 0.0 );
+	y = logcdf( PINF );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	logcdf = factory( 1.0, 1.0 );
+	y = logcdf( PINF );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a valid `mu` and `lambda`, the function returns a function which returns `-infinity` when provided `-infinity` for `x`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 1.0, 0.0 );
+	y = logcdf( NINF );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	logcdf = factory( 1.0, 1.0 );
+	y = logcdf( NINF );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a nonpositive `mu`, the created function always returns `NaN`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 0.0, 1.0 );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( -1.0, 1.0 );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NINF, 1.0 );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a negative `lambda`, the created function always returns `NaN`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 0.0, -1.0 );
+
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 0.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( 0.0, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( PINF, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NINF, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	logcdf = factory( NaN, NINF );
+	y = logcdf( 2.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if `lambda` equals `0`, the created function evaluates a degenerate distribution centered at `mu`', function test( t ) {
+	var logcdf;
+	var y;
+
+	logcdf = factory( 2.0, 0.0 );
+
+	y = logcdf( 2.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( 3.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( 1.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `lambda`', function test( t ) {
+	var expected;
+	var lambda;
+	var logcdf;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	expected = data.expected;
+	x = data.x;
+	mu = data.mu;
+	lambda = data.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		logcdf = factory( mu[i], lambda[i] );
+		y = logcdf( x[i] );
+		if ( y === expected[i] ) {
+			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			t.ok( isAlmostSameValue( y, expected[ i ], 1760 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
+		}
+	}
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.js
new file mode 100644
index 000000000000..b45719a84984
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var logcdf = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'attached to the main export is a factory method for generating `logcdf` functions', function test( t ) {
+	t.strictEqual( typeof logcdf.factory, 'function', 'exports a factory method' );
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.main.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.main.js
new file mode 100644
index 000000000000..e31636bfd2b6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.main.js
@@ -0,0 +1,149 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var logcdf = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+	var y = logcdf( NaN, 1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, NaN, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, 1.0, NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a nonpositive `mu`, the function always returns `NaN`', function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, -1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a valid `mu` and `lambda`, the function returns `0`', function test( t ) {
+	var y = logcdf( PINF, 1.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( PINF, 1.0, 1.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `-infinity` for `x` and a valid `mu` and `lambda`, the function returns `-infinity`', function test( t ) {
+	var y = logcdf( NINF, 1.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	y = logcdf( NINF, 1.0, 1.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a negative `lambda`, the function always returns `NaN`', function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 0.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, 0.0, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, PINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NaN, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `lambda` equals `0`, the function evaluates a degenerate distribution centered at `mu`', function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x equal to mu' );
+
+	y = logcdf( 3.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x greater than mu' );
+
+	y = logcdf( 1.0, 2.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns -infinity for x smaller than mu' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `lambda`', function test( t ) {
+	var expected;
+	var lambda;
+	var mu;
+	var i;
+	var x;
+	var y;
+
+	expected = data.expected;
+	x = data.x;
+	mu = data.mu;
+	lambda = data.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		y = logcdf( x[i], mu[i], lambda[i] );
+		if ( y === expected[i] ) {
+			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu: '+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			t.ok( isAlmostSameValue( y, expected[ i ], 1760 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
+		}
+	}
+	t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.native.js
new file mode 100644
index 000000000000..0358d3070fcb
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/wald/logcdf/test/test.native.js
@@ -0,0 +1,158 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+*    http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// VARIABLES //
+
+var logcdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+	'skip': ( logcdf instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+	t.ok( true, __filename );
+	t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+	t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
+	var y = logcdf( NaN, 1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, NaN, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	y = logcdf( 0.0, 1.0, NaN );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+	t.end();
+});
+
+tape( 'if provided a nonpositive `mu`, the function always returns `NaN`', opts, function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, -1.0, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, 1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a valid `mu` and `lambda`, the function returns `0`', opts, function test( t ) {
+	var y = logcdf( PINF, 1.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	y = logcdf( PINF, 1.0, 1.0 );
+	t.strictEqual( y, 0.0, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `-infinity` for `x` and a valid `mu` and `lambda`, the function returns `-infinity`', opts, function test( t ) {
+	var y = logcdf( NINF, 1.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	y = logcdf( NINF, 1.0, 1.0 );
+	t.strictEqual( y, NINF, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided a negative `lambda`, the function always returns `NaN`', opts, function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 0.0, 0.0, -1.0 );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, 0.0, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, PINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NINF, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	y = logcdf( 2.0, NaN, NINF );
+	t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+	t.end();
+});
+
+tape( 'if provided `lambda` equals `0`, the function evaluates a degenerate distribution centered at `mu`', opts, function test( t ) {
+	var y;
+
+	y = logcdf( 2.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x equal to mu' );
+
+	y = logcdf( 3.0, 2.0, 0.0 );
+	t.strictEqual( y, 0.0, 'returns 0 for x greater than mu' );
+
+	y = logcdf( 1.0, 2.0, 0.0 );
+	t.strictEqual( y, NINF, 'returns -infinity for x smaller than mu' );
+
+	t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given parameters `mu` and `lambda`', opts, function test( t ) {
+	var expected;
+	var lambda;
+	var mu;
+	var x;
+	var y;
+	var i;
+
+	expected = data.expected;
+	x = data.x;
+	mu = data.mu;
+	lambda = data.lambda;
+	for ( i = 0; i < x.length; i++ ) {
+		y = logcdf( x[i], mu[i], lambda[i] );
+		if ( y === expected[i] ) {
+			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+		} else {
+			t.ok( isAlmostSameValue( y, expected[ i ], 1760 ), 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'.' );
+		}
+	}
+	t.end();
+});