diff --git a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/README.md
index 3a40c291f459..80677d044a4e 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/pmf/README.md
@@ -133,6 +133,102 @@ for ( i = 0; i < 10; i++ ) {
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/bernoulli/pmf.h"
+```
+
+#### stdlib_base_dists_bernoulli_pmf( x, p )
+
+Evaluates the [probability mass function][pmf] (PMF) of a [Bernoulli][bernoulli-distribution] distribution with success probability `0 <= p <= 1`.
+
+```c
+double y = stdlib_base_dists_bernoulli_pmf( 1.0, 0.3 );
+// returns 0.3
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_bernoulli_pmf( const double x, const double p );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/bernoulli/pmf.h"
+#include "stdlib/math/base/special/round.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 p;
+ double x;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ x = stdlib_base_round( random_uniform( 0.0, 2.0 ) );
+ p = random_uniform( 0.0, 1.0 );
+ y = stdlib_base_dists_bernoulli_pmf( x, p );
+ printf( "x: %lf, p: %lf, P( X = x; p ): %lf\n", x, p, y );
+ }
+}
+```
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