diff --git a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/logpdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/logpdf/README.md
index b1a43d18ec8f..93cf6c5a3b65 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/logpdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/kumaraswamy/logpdf/README.md
@@ -174,6 +174,103 @@ 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/kumaraswamy/logpdf.h"
+```
+
+#### stdlib_base_dists_kumaraswamy_logpdf( x, a, b )
+
+Evaluates the natural logarithm of the probability distribution function (PDF) for a Kumaraswamy's double bounded distribution.
+
+```c
+double out = stdlib_base_dists_kumaraswamy_logpdf( 0.5, 1.0, 1.0 );
+// returns 0.0
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **a**: `[in] double` first shape parameter.
+- **b**: `[in] double` second shape parameter.
+
+```c
+double stdlib_base_dists_kumaraswamy_logpdf( const double x, const double a, const double b );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/kumaraswamy/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 x;
+ double a;
+ double b;
+ double y;
+ int i;
+ for ( i = 0; i < 25; i++ ) {
+ x = random_uniform( 0, 1.0 );
+ a = random_uniform( 0, 5.0 );
+ b = random_uniform( 0, 5.0 );
+ y = stdlib_base_dists_kumaraswamy_logpdf( x, a, b );
+ printf( "x: %lf, a: %lf, b: %lf, ln(f(x;a,b)): %lf\n", x, a, b, y );
+ }
+}
+```
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