diff --git a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/entropy/README.md b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/entropy/README.md
index f0b52ae1f06d..74def01cf3a5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/entropy/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/entropy/README.md
@@ -130,6 +130,93 @@ for ( i = 0; i < 10; i++ ) {
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/bernoulli/entropy.h"
+```
+
+#### stdlib_base_dists_bernoulli_entropy( p )
+
+Returns the [entropy][entropy] of a [Bernoulli][bernoulli-distribution] distribution with success probability `p` (in [nats][nats]).
+
+```c
+double out = stdlib_base_dists_bernoulli_entropy( 0.1 );
+// returns ~0.325
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` success probability
+
+```c
+double stdlib_base_dists_bernoulli_entropy( const double p );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/bernoulli/entropy.h"
+#include
+#include
+
+int main( void ) {
+ double p;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ y = stdlib_base_dists_bernoulli_entropy( p );
+ printf( "x: %lf, H(X;p): %lf\n", p, y );
+ }
+}
+```
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