diff --git a/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md
index 0887619f47db..abb513815569 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/gamma/quantile/README.md
@@ -150,6 +150,91 @@ logEachMap( 'p: %0.4f, α: %0.4f, β: %0.4f, Q(p;α,β): %0.4f', p, alpha, beta,
+
+
+
+
+
+
+
+
+
+
+## C APIs
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/gamma/quantile.h"
+```
+
+#### stdlib_base_dists_gamma_quantile( p, alpha, beta )
+
+Evaluates the [quantile function][quantile-function] for a [gamma][gamma-distribution] distribution with parameters `alpha` (shape parameter) and `beta` (rate parameter).
+
+```c
+double out = stdlib_base_dists_gamma_quantile( 0.8, 2.0, 1.0 );
+// returns ~2.994
+
+out = stdlib_base_dists_gamma_quantile( 0.5, 4.0, 2.0 );
+// returns ~1.836
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` input probability.
+- **alpha**: `[in] double` shape parameter.
+- **beta**: `[in] double` rate parameter.
+
+```c
+double stdlib_base_dists_gamma_quantile( const double p, const double alpha, const double beta );
+```
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/gamma/quantile.h"
+#include
+#include
+
+static double random_uniform( double min, double max ) {
+ double scale = rand() / (double) RAND_MAX;
+ return min + ( scale * ( max - min ) );
+}
+
+int main( void ) {
+ double alpha;
+ double beta;
+ double p;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ alpha = random_uniform( 0.1, 5.0 );
+ beta = random_uniform( 0.1, 5.0 );
+ y = stdlib_base_dists_gamma_quantile( p, alpha, beta );
+ printf( "p: %lf, α: %lf, β: %lf, Q(p;α,β): %lf\n", p, alpha, beta, y );
+ }
+}
+```
+
+
+
+
+
+
+
+
+