diff --git a/lib/node_modules/@stdlib/stats/base/dists/binomial/pmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/binomial/pmf/README.md
index b4725a5d5719..6118ecccf174 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/binomial/pmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/binomial/pmf/README.md
@@ -152,6 +152,114 @@ for ( i = 0; i < 10; i++ ) {
+
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/binomial/pmf.h"
+```
+
+#### stdlib_base_dists_binomial_pmf( x, n, p )
+
+Returns the [probability mass function][pmf] (PMF) for a [binomial][binomial-distribution] distribution with number of trials `n` and success probability `p`.
+
+```c
+double out = stdlib_base_dists_binomial_pmf( 3.0, 20, 0.2 );
+// returns ~0.205
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] int32_t` input value.
+- **n**: `[in] int32_t` number of trials.
+- **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_binomial_pmf( const int32_t x, const int32_t n, const double p );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/binomial/pmf.h"
+#include "stdlib/math/base/special/ceil.h"
+#include
+#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 ) {
+ int32_t n;
+ double p;
+ int32_t x;
+ 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 );
+ x = stdlib_base_ceil( random_uniform( 0.0, 50.0 ) );
+ y = stdlib_base_dists_binomial_pmf( x, n, p );
+ printf( "x: %d, n: %d, p: %lf, P(X=x;n,p): %lf\n", x, n, p, y );
+ }
+
+ return 0;
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+