diff --git a/lib/node_modules/@stdlib/stats/base/dists/chisquare/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/chisquare/quantile/README.md
index a06e1efeeb81..9b0e7303d2cd 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/chisquare/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/chisquare/quantile/README.md
@@ -147,6 +147,101 @@ logEachMap( 'p: %0.4f, k: %0.4f, Q(p;k): %0.4f', p, k, quantile );
+
+
+* * *
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+
+
+## C APIs
+
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+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/chisquare/quantile.h"
+```
+
+#### stdlib_base_dists_chisquare_quantile( p, k )
+
+Evaluates the [quantile function][quantile-function] for a [chi-squared][chisquare-distribution] distribution with degrees of freedom `k`.
+
+```c
+double out = stdlib_base_dists_chisquare_quantile( 0.8, 1.0 );
+// returns ~1.642
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` input probability.
+- **k**: `[in] double` degrees of freedom.
+
+```c
+double stdlib_base_dists_chisquare_quantile( const double p, const double k );
+```
+
+
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+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/chisquare/quantile.h"
+#include
+#include
+
+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 k;
+ double p;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ k = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_chisquare_quantile( p, k );
+ printf( "p: %lf, k: %lf, Q(p;k): %lf\n", p, k, y );
+ }
+}
+```
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