diff --git a/lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/README.md
index 6f19ff51b1ce..960d84e4fa2c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/gamma/logpdf/README.md
@@ -155,6 +155,104 @@ for ( i = 0; i < 10; i++ ) {
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/gamma/logpdf.h"
+```
+
+#### stdlib_base_dists_gamma_logpdf( x, alpha, beta )
+
+Evaluates the logarithm of the probability density function (PDF) for a gamma distribution with shape parameter `alpha` and rate parameter `beta` at a value `x`.
+
+```c
+double out = stdlib_base_dists_gamma_logpdf( 2.0, 0.5, 1.0 );
+// returns ~-2.919
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **mu**: `[in] double` shape parameter.
+- **b**: `[in] double` rate parameter.
+
+```c
+double stdlib_base_dists_gamma_logpdf( const double x, const double alpha, const double beta );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/gamma/logpdf.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 alpha;
+ double beta;
+ double x;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ x = random_uniform( 0.0, 10.0 ) - 5.0;
+ alpha = random_uniform( 0.0, 20.0 );
+ beta = random_uniform( 0.0, 20.0 );
+ y = stdlib_base_dists_gamma_logpdf( x, alpha, beta );
+ printf( "x: %lf, α: %lf, β: %lf, ln(f(x;α,β)): %lf\n", x, alpha, beta, y );
+ }
+}
+```
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