diff --git a/lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/README.md
index d33144225025..8657a41c5337 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/README.md
@@ -145,6 +145,105 @@ 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/invgamma/logpdf.h"
+```
+
+#### stdlib_base_dists_invgamma_logpdf( alpha, beta )
+
+Evaluates the natural logarithm of the probability density function (PDF) for an inverse gamma distribution with shape parameter `alpha` and scale parameter `beta` at a value `x`.
+
+```c
+double out = stdlib_base_dists_invgamma_logpdf( 2.0, 0.5, 1.0 );
+// returns ~-2.112
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **alpha**: `[in] double` shape parameter.
+- **beta**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_invgamma_logpdf( const double x, const double mu, const double b );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/laplace/logpdf.h"
+#include "stdlib/constants/float64/eps.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 );
+ alpha = random_uniform( 0.0, 10.0 );
+ beta = random_uniform( 0.0, 10.0 );
+ y = stdlib_base_dists_invgamma_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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