diff --git a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/quantile/README.md
index ed3daca7c5be..56abe006a7cb 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/bernoulli/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/bernoulli/quantile/README.md
@@ -145,6 +145,109 @@ for ( i = 0; i < 10; i++ ) {
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/bernoulli/quantile.h"
+```
+
+#### stdlib_base_dists_bernoulli_quantile( r, p )
+
+Evaluates the [quantile][quantile-function] of a [Bernoulli][bernoulli-distribution] distribution with input value `r` and success probability `p`.
+
+```c
+double out = stdlib_base_dists_bernoulli_quantile( 0.8, 0.4 );
+// returns 1
+```
+
+The function accepts the following arguments:
+
+- **r**: `[in] double` input value.
+- **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_bernoulli_quantile( const double r, const double p );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/bernoulli/quantile.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 r;
+ double p;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ r = random_uniform( 0.0, 1.0 );
+ p = random_uniform( 0.0, 1.0 );
+ y = stdlib_base_dists_bernoulli_quantile( r, p );
+ printf( "r: %lf, p: %lf, Q(r;p): %lf\n", r, p, y );
+ }
+}
+```
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