chore: clean-up

lib/node_modules/@stdlib/blas/ext/base/ndarray/dfill-not-equal/README.md

@@ -101,10 +101,10 @@ var opts = {
 var x = discreteUniform( [ 10 ], 0, 3, opts );
 console.log( ndarray2array( x ) );
 
-var searchElement = scalar2ndarray( 1, opts );
+var searchElement = scalar2ndarray( 1.0, opts );
 console.log( 'Search Element: %d', ndarraylike2scalar( searchElement ) );
 
-var alpha = scalar2ndarray( 5, opts );
+var alpha = scalar2ndarray( 5.0, opts );
 console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
 
 dfillNotEqual( [ x, searchElement, alpha ] );

lib/node_modules/@stdlib/blas/ext/base/ndarray/dfill-not-equal/examples/index.js

@@ -31,10 +31,10 @@ var opts = {
 var x = discreteUniform( [ 10 ], 0, 3, opts );
 console.log( ndarray2array( x ) );
 
-var searchElement = scalar2ndarray( 1, opts );
+var searchElement = scalar2ndarray( 1.0, opts );
 console.log( 'Search Element: %d', ndarraylike2scalar( searchElement ) );
 
-var alpha = scalar2ndarray( 5, opts );
+var alpha = scalar2ndarray( 5.0, opts );
 console.log( 'Alpha: %d', ndarraylike2scalar( alpha ) );
 
 dfillNotEqual( [ x, searchElement, alpha ] );

lib/node_modules/@stdlib/stats/incr/nancovariance/README.md

@@ -27,23 +27,23 @@ limitations under the License.
 ## Usage
 
 ```javascript
-var nancovariance = require( '@stdlib/stats/incr/nancovariance' );
+var incrnancovariance = require( '@stdlib/stats/incr/nancovariance' );
 ```
 
 #### incrnancovariance
 
 Returns an accumulator function which incrementally computes a sample covariance, ignoring any input pairs that contain NaN values. The accumulator returns null until at least two valid data pairs have been provided.
 
 ```javascript
-var accumulator = nancovariance();
+var accumulator = incrnancovariance();
 ```
 
 #### accumulator(`[x, y]`)
 
 If provided a pair of numeric input values `[x, y]`, the accumulator updates and returns the sample covariance. If not provided any input values, the accumulator returns the current sample covariance.
 
 ```javascript
-var accumulator = nancovariance();
+var accumulator = incrnancovariance();
 
 var cov = accumulator();
 // returns null
@@ -73,13 +73,13 @@ cov = accumulator();
 
 ```javascript
 var randu = require( '@stdlib/random/base/randu' );
-var nancovariance = require( '@stdlib/stats/incr/nancovariance' );
+var incrnancovariance = require( '@stdlib/stats/incr/nancovariance' );
 
 var accumulator;
 var i;
 var x;
 var y;
-accumulator = nancovariance();
+accumulator = incrnancovariance();
 for ( i = 0; i < 100; i++ ) {
     x = ( randu() < 0.2 ) ? NaN : randu() * 100.0;
     y = ( randu() < 0.2 ) ? NaN : randu() * 100.0;

lib/node_modules/@stdlib/stats/incr/nancovariance/benchmark/benchmark.js

@@ -24,7 +24,7 @@ var bench = require( '@stdlib/bench' );
 var randu = require( '@stdlib/random/base/randu' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
-var nancovariance = require( './../lib' );
+var incrnancovariance = require( './../lib' );
 
 
 // MAIN //
@@ -34,7 +34,7 @@ bench( pkg, function benchmark( b ) {
 	var i;
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		acc = nancovariance();
+		acc = incrnancovariance();
 		if ( typeof acc !== 'function' ) {
 			b.fail( 'should return a function' );
 		}
@@ -54,7 +54,7 @@ bench( format( '%s::accumulator', pkg ), function benchmark( b ) {
 	var v;
 	var i;
 
-	acc = nancovariance();
+	acc = incrnancovariance();
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/incr/nancovariance/docs/types/index.d.ts

@@ -39,7 +39,7 @@ type accumulator = ( x?: number, y?: number ) => number | null;
 * @returns accumulator function
 *
 * @example
-* var acc = nancovariance();
+* var acc = incrnancovariance();
 *
 * var cov = acc();
 * // returns null
@@ -56,9 +56,9 @@ type accumulator = ( x?: number, y?: number ) => number | null;
 * cov = acc();
 * // returns 4.0
 */
-declare function nancovariance(): accumulator;
+declare function incrnancovariance(): accumulator;
 
 
 // EXPORTS //
 
-export = nancovariance;
+export = incrnancovariance;

lib/node_modules/@stdlib/stats/incr/nancovariance/docs/types/test.ts

@@ -16,32 +16,32 @@
 * limitations under the License.
 */
 
-import nancovariance = require( './index' );
+import incrnancovariance = require( './index' );
 
 
 // TESTS //
 
 // The function returns an accumulator function...
 {
-	nancovariance(); // $ExpectType accumulator
+	incrnancovariance(); // $ExpectType accumulator
 }
 
 // The compiler throws an error if the function is provided any arguments...
 {
-	nancovariance( 3 ); // $ExpectError
-	nancovariance( 3, 0.0 ); // $ExpectError
+	incrnancovariance( 3 ); // $ExpectError
+	incrnancovariance( 3, 0.0 ); // $ExpectError
 }
 
 // The function returns an accumulator function which returns an accumulated result...
 {
-	const acc = nancovariance();
+	const acc = incrnancovariance();
 	acc(); // $ExpectType number | null
 	acc( 2.0, 1.0 ); // $ExpectType number | null
 }
 
 // The compiler throws an error if the returned accumulator function is provided invalid arguments...
 {
-	const acc = nancovariance();
+	const acc = incrnancovariance();
 
 	acc( '5', 2.0 ); // $ExpectError
 	acc( true, 2.0 ); // $ExpectError

lib/node_modules/@stdlib/stats/incr/nancovariance/examples/index.js

@@ -18,9 +18,9 @@
 
 'use strict';
 
-var nancovariance = require( './../lib' );
+var incrnancovariance = require( './../lib' );
 
-var acc = nancovariance();
+var acc = incrnancovariance();
 
 var dataX = [ 2.0, 2.0, NaN, 3.0, 5.0 ];
 var dataY = [ 1.0, 5.0, 4.0, NaN, 5.0 ];

lib/node_modules/@stdlib/stats/incr/nancovariance/lib/index.js

@@ -24,9 +24,9 @@
 * @module @stdlib/stats/incr/nancovariance
 *
 * @example
-* var nancovariance = require( '@stdlib/stats/incr/nancovariance' );
+* var incrnancovariance = require( '@stdlib/stats/incr/nancovariance' );
 *
-* var acc = nancovariance();
+* var acc = incrnancovariance();
 *
 * var cov = acc();
 * // returns null

lib/node_modules/@stdlib/stats/incr/nancovariance/lib/main.js

@@ -32,9 +32,9 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 * @returns {Function} accumulator function
 *
 * @example
-* var nancovariance = require( '@stdlib/stats/incr/nancovariance' );
+* var incrnancovariance = require( '@stdlib/stats/incr/nancovariance' );
 *
-* var acc = nancovariance();
+* var acc = incrnancovariance();
 *
 * var cov = acc();
 * // returns null
@@ -51,7 +51,7 @@ var isnan = require( '@stdlib/math/base/assert/is-nan' );
 * cov = acc();
 * // returns 4.0
 */
-function nancovariance() {
+function incrnancovariance() {
 	var count = 0;
 	var acc = covariance();
 	return accumulator;
@@ -82,4 +82,4 @@ function nancovariance() {
 
 // EXPORTS //
 
-module.exports = nancovariance;
+module.exports = incrnancovariance;

lib/node_modules/@stdlib/stats/incr/nancovariance/test/test.js

@@ -23,25 +23,25 @@
 var tape = require( 'tape' );
 var abs = require( '@stdlib/math/base/special/abs' );
 var EPS = require( '@stdlib/constants/float64/eps' );
-var nancovariance = require( './../lib' );
+var incrnancovariance = require( './../lib' );
 
 
 // TESTS //
 
 tape( 'main export is a function', function test( t ) {
 	t.ok( true, __filename );
-	t.strictEqual( typeof nancovariance, 'function', 'main export is a function' );
+	t.strictEqual( typeof incrnancovariance, 'function', 'main export is a function' );
 	t.end();
 });
 
 tape( 'the function returns an accumulator function', function test( t ) {
-	var acc = nancovariance();
+	var acc = incrnancovariance();
 	t.strictEqual( typeof acc, 'function', 'returns a function' );
 	t.end();
 });
 
 tape( 'the accumulator function returns null if no valid pairs have been provided', function test( t ) {
-	var acc = nancovariance();
+	var acc = incrnancovariance();
 	t.equal( acc(), null, 'returns null initially' );
 
 	// Provide an invalid pair:
@@ -51,7 +51,7 @@ tape( 'the accumulator function returns null if no valid pairs have been provide
 });
 
 tape( 'the accumulator function returns null if only one valid pair has been provided', function test( t ) {
-	var acc = nancovariance();
+	var acc = incrnancovariance();
 
 	// Add the first valid pair:
 	acc( 2.0, 1.0 );
@@ -60,7 +60,7 @@ tape( 'the accumulator function returns null if only one valid pair has been pro
 });
 
 tape( 'the accumulator function computes sample covariance once two valid pairs have been provided', function test( t ) {
-	var acc = nancovariance();
+	var acc = incrnancovariance();
 	var cov;
 
 	// Pair #1:
@@ -77,7 +77,7 @@ tape( 'the accumulator function computes sample covariance once two valid pairs
 });
 
 tape( 'the accumulator function skips pairs containing NaN', function test( t ) {
-	var acc = nancovariance();
+	var acc = incrnancovariance();
 	var cov;
 
 	// Provide first valid pair:
@@ -110,7 +110,7 @@ tape( 'the accumulator function computes correct covariance for multiple valid p
 		[ NaN, NaN ],
 		[ 5.0, 11.0 ]
 	];
-	var acc = nancovariance();
+	var acc = incrnancovariance();
 	var cov;
 	var tol;
 	var i;

lib/node_modules/@stdlib/stats/incr/nanewvariance/benchmark/benchmark.js

@@ -24,7 +24,7 @@ var bench = require( '@stdlib/bench' );
 var randu = require( '@stdlib/random/base/randu' );
 var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
-var nanewvariance = require( './../lib' );
+var incrnanewvariance = require( './../lib' );
 
 
 // MAIN //
@@ -34,7 +34,7 @@ bench( pkg, function benchmark( b ) {
 	var i;
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
-		f = nanewvariance( 0.5 );
+		f = incrnanewvariance( 0.5 );
 		if ( typeof f !== 'function' ) {
 			b.fail( 'should return a function' );
 		}
@@ -51,7 +51,7 @@ bench( format( '%s::accumulator', pkg ), function benchmark( b ) {
 	var acc;
 	var v;
 	var i;
-	acc = nanewvariance( 0.5 );
+	acc = incrnanewvariance( 0.5 );
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
 		v = acc( randu() );

lib/node_modules/@stdlib/stats/incr/nanewvariance/docs/types/test.ts

@@ -16,38 +16,38 @@
 * limitations under the License.
 */
 
-import nanewvariance = require( './index' );
+import incrnanewvariance = require( './index' );
 
 
 // TESTS //
 
 // The function returns an accumulator function...
 {
-	nanewvariance( 0.5 ); // $ExpectType accumulator
+	incrnanewvariance( 0.5 ); // $ExpectType accumulator
 }
 
 // The compiler throws an error if the function is provided an argument that is not a number...
 {
-	nanewvariance( '5' ); // $ExpectError
-	nanewvariance( true ); // $ExpectError
-	nanewvariance( false ); // $ExpectError
-	nanewvariance( null ); // $ExpectError
-	nanewvariance( undefined ); // $ExpectError
-	nanewvariance( [] ); // $ExpectError
-	nanewvariance( {} ); // $ExpectError
-	nanewvariance( ( x: number ): number => x ); // $ExpectError
+	incrnanewvariance( '5' ); // $ExpectError
+	incrnanewvariance( true ); // $ExpectError
+	incrnanewvariance( false ); // $ExpectError
+	incrnanewvariance( null ); // $ExpectError
+	incrnanewvariance( undefined ); // $ExpectError
+	incrnanewvariance( [] ); // $ExpectError
+	incrnanewvariance( {} ); // $ExpectError
+	incrnanewvariance( ( x: number ): number => x ); // $ExpectError
 }
 
 // The function returns an accumulator function which returns an accumulated result...
 {
-	const acc = nanewvariance( 0.5 );
+	const acc = incrnanewvariance( 0.5 );
 	acc(); // $ExpectType number | null
 	acc( 3.14 ); // $ExpectType number | null
 }
 
 // The compiler throws an error if the returned accumulator function is provided invalid arguments...
 {
-	const acc = nanewvariance( 0.5 );
+	const acc = incrnanewvariance( 0.5 );
 	acc( '5' ); // $ExpectError
 	acc( true ); // $ExpectError
 	acc( false ); // $ExpectError

lib/node_modules/@stdlib/stats/incr/nanewvariance/examples/index.js

@@ -20,15 +20,15 @@
 
 var randu = require( '@stdlib/random/base/randu' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var nanewvariance = require( './..' );
+var incrnanewvariance = require( './..' );
 
 var accumulator;
 var s2;
 var v;
 var i;
 
 // Initialize an accumulator:
-accumulator = nanewvariance( 0.5 );
+accumulator = incrnanewvariance( 0.5 );
 
 // For each simulated datum, update the exponentially weighted variance...
 console.log( '\nValue\tVariance\n' );