diff --git a/lib/node_modules/@stdlib/stats/base/dists/normal/logpdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/normal/logpdf/README.md
index 00a0042004dc..c47f7a227541 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/normal/logpdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/normal/logpdf/README.md
@@ -142,6 +142,104 @@ for ( i = 0; i < 10; i++ ) {
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/normal/logpdf.h"
+```
+
+#### stdlib_base_dists_normal_logpdf( x, mu, sigma )
+
+Evaluates the natural logarithm of the probability density function (logPDF) for a normal distribution.
+
+```c
+double out = stdlib_base_dists_normal_pdf( 2.0, 0.0, 1.0 );
+// returns ~-2.919
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **mu**: `[in] double` mean.
+- **sigma**: `[in] double` standard deviation.
+
+```c
+double stdlib_base_dists_normal_logpdf( cconst double x, const double mu, const double sigma );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/normal/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 sigma;
+ double mu;
+ double x;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ x = random_uniform( 0.0, 10.0 );
+ mu = random_uniform( -5.0, 5.0 );
+ sigma = random_uniform( 0.1, 20.0 );
+ y = stdlib_base_dists_normal_logpdf( x, mu, sigma );
+ printf( "x: %lf, µ: %lf, σ: %lf, ln(f(x;µ,σ)): %lf\n", x, mu, sigma, y );
+ }
+}
+```
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