diff --git a/lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/README.md
index 0c279173fb44..8dbbee35bed6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/geometric/quantile/README.md
@@ -145,6 +145,109 @@ for ( i = 0; i < 10; i++ ) {
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/geometric/quantile.h"
+```
+
+#### stdlib_base_dists_geometric_quantile( r, p )
+
+Evaluates the [quantile function][quantile-function] for a [geometric][geometric-distribution] distribution with success probability `p` at a value `r`.
+
+```c
+double out = stdlib_base_dists_geometric_quantile( 0.5, 0.4 );
+// returns 1
+```
+
+The function accepts the following arguments:
+
+- **r**: `[in] double` input probability.
+- **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_geometric_quantile( const double r, const double p );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/geometric/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 p;
+ double r;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ r = random_uniform( 0.0, 1.0 );
+ p = random_uniform( 0.0, 1.0 );
+ y = stdlib_base_dists_geometric_quantile( r, p );
+ printf( "r: %lf, p: %lf, Q(r;p): %lf\n", r, p, y );
+ }
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+