diff --git a/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md
index 64d19af9582a..7c24475ed29f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/binomial/quantile/README.md
@@ -151,6 +151,113 @@ logEachMap( 'r: %0.4f, n: %0.4f, p: %0.4f, Q(r;n,p): %0.4f', r, n, p, quantile )
+
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/binomial/quantile.h"
+```
+
+#### stdlib_base_dists_binomial_quantile( r, n, p )
+
+Returns the [quantile function][quantile-function] for a [binomial][binomial-distribution] distribution with number of trials `n` and success probability `p` at value `r`.
+
+```c
+double out = stdlib_base_dists_binomial_quantile( 0.4, 20, 0.2 );
+// returns 3
+```
+
+The function accepts the following arguments:
+
+- **r**: `[in] double` input probability.
+- **n**: `[in] double` number of trials.
+- **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_binomial_quantile( const double r, const double n, const double p );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/binomial/quantile.h"
+#include "stdlib/math/base/special/ceil.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 n;
+ double p;
+ double r;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ n = stdlib_base_ceil( random_uniform( 0.0, 100.0 ) );
+ p = random_uniform( 0.0, 1.0 );
+ r = random_uniform( 0.0, 1.0 );
+ y = stdlib_base_dists_binomial_quantile( r, n, p );
+ printf( "r: %lf, n: %lf, p: %lf, Q(r;n,p): %lf\n", r, n, p, y );
+ }
+
+ return 0;
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+