diff --git a/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/README.md b/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/README.md
index 5ec8befb6a4a..2798e66e45ab 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/hypergeometric/logpmf/README.md
@@ -157,6 +157,109 @@ for ( i = 0; i < 10; i++ ) {
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+* * *
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/hypergeometric/logpmf.h"
+```
+
+#### stdlib_base_dists_hypergeometric_logpmf( x, N, K, n )
+
+Evaluates the natural logarithm of the [probability mass function][pmf] (PMF) for a [hypergeometric][hypergeometric-distribution] distribution with parameters `N` (population size), `K` (subpopulation size), and `n` (number of draws).
+
+```c
+double out = stdlib_base_dists_hypergeometric_logpmf( 1.0, 8, 4, 2 );
+// returns ~-0.56
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **N**: `[in] int32_t` population size.
+- **K**: `[in] int32_t` subpopulation size.
+- **n**: `[in] int32_t` number of draws.
+
+```c
+double stdlib_base_dists_hypergeometric_logpmf ( const double x, const int32_t N, const int32_t K, const int32_t n );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/hypergeometric/logpmf.h"
+#include "stdlib/math/base/special/round.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;
+ int32_t K;
+ int32_t n;
+ double y;
+ double x;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ x = stdlib_base_round( random_uniform( 0.0, 5.0 ) );
+ N = stdlib_base_round( random_uniform( 0.0, 20.0 ) );
+ K = stdlib_base_round( random_uniform( 0.0, N ) );
+ n = stdlib_base_round( random_uniform( 0.0, N ) );
+ y = stdlib_base_dists_hypergeometric_logpmf( x, N, K, n );
+ printf( "x: %lf, N: %d, K: %d, n: %d, ln(P(X=x;N,K,n)): %lf\n", x, N, K, n, y );
+ }
+}
+```
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