diff --git a/lib/node_modules/@stdlib/stats/base/dists/negative-binomial/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/negative-binomial/quantile/README.md
index efedc6e0212d..6eddd8678071 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/negative-binomial/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/negative-binomial/quantile/README.md
@@ -124,6 +124,13 @@ y = quantile( 0.3, 20.0, 1.5 );
// returns NaN
```
+If provided a success probability `p` equal to `0`, the function returns `NaN`, as the number of failures before observing `r` successes is unbounded.
+
+```javascript
+var y = quantile( 0.5, 20.0, 0.0 );
+// returns NaN
+```
+
#### quantile.factory( r, p )
Returns a function for evaluating the [quantile function][quantile-function] for a [negative binomial][negative-binomial-distribution] distribution with number of successes until experiment is stopped `r` and success probability `p`.
@@ -166,6 +173,114 @@ logEachMap( 'k: %0.4f, r: %0.4f, p: %0.4f, Q(k;r,p): %0.4f', k, r, p, quantile )
+
+
+
+
+## C APIs
+
+
+
+
+
+
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+
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+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/negative-binomial/quantile.h"
+```
+
+#### stdlib_base_dists_negative_binomial_quantile( k, r, p )
+
+Evaluates the [quantile function][quantile-function] for a [negative binomial][negative-binomial-distribution] distribution with number of successes until experiment is stopped `r` and success probability `p` at a probability `k`.
+
+```c
+double out = stdlib_base_dists_negative_binomial_quantile( 0.9, 20.0, 0.2 );
+// returns 106.0
+```
+
+The function accepts the following arguments:
+
+- **k**: `[in] double` input probability.
+- **r**: `[in] double` number of successes until experiment is stopped.
+- **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_negative_binomial_quantile( const double k, const double r, const double p );
+```
+
+
+
+
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+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/negative-binomial/quantile.h"
+#include "stdlib/math/base/special/ceil.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 k;
+ double r;
+ double p;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ k = random_uniform( 0.0, 1.0 );
+ r = stdlib_base_ceil( random_uniform( 1.0, 100.0 ) );
+ p = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 1.0 );
+ y = stdlib_base_dists_negative_binomial_quantile( k, r, p );
+ printf( "k: %lf, r: %lf, p: %lf, Q(k;r,p): %lf\n", k, r, p, y );
+ }
+
+ return 0;
+}
+```
+
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