diff --git a/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md
index 9ee4e34aa050..4e1937d32558 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/poisson/quantile/README.md
@@ -149,6 +149,101 @@ logEachMap( 'p: %0.4f, λ: %0.4f, Q(p;λ): %0.4f', p, lambda, quantile );
+
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+* * *
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+
+## C APIs
+
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+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/poisson/quantile.h"
+```
+
+#### stdlib_base_dists_poisson_quantile( p, lambda )
+
+Evaluates the [quantile function][quantile-function] for a [Poisson][poisson-distribution] distribution with mean parameter `lambda` at a probability `p`.
+
+```c
+double out = stdlib_base_dists_poisson_quantile( 0.5, 2.0 );
+// returns 2
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` input value.
+- **lambda**: `[in] double` mean parameter.
+
+```c
+double stdlib_base_dists_poisson_quantile( const double p, const double lambda );
+```
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+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/poisson/quantile.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 p;
+ double lambda;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ lambda = random_uniform( 0.0, 100.0 );
+ y = stdlib_base_dists_poisson_quantile( p, lambda );
+ printf( "p: %lf, λ: %lf, Q(p;λ): %lf\n", p, lambda, y );
+ }
+}
+```
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