diff --git a/lib/node_modules/@stdlib/stats/base/dists/t/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/t/quantile/README.md
index 4d9e4ec4d39c..0f7f71fcde83 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/t/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/t/quantile/README.md
@@ -140,6 +140,102 @@ logEachMap( 'p: %0.4f, v: %0.4f, Q(p;v): %0.4f', p, v, quantile );
+
+
+* * *
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+
+
+## C APIs
+
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+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/t/quantile.h"
+```
+
+#### stdlib_base_dists_t_quantile( p, v )
+
+Evaluates the [quantile function][quantile-function] for a [Student's t][t-distribution] distribution with degrees of freedom `v`.
+
+```c
+double out = stdlib_base_dists_t_quantile( 0.8, 1.0 );
+// returns ~1.376
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` input probability.
+- **v**: `[in] double` degrees of freedom.
+
+```c
+double stdlib_base_dists_t_quantile( const double p, const double v );
+```
+
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+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/t/quantile.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 p;
+ double v;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ v = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 100.0 );
+ y = stdlib_base_dists_t_quantile( p, v );
+ printf( "p: %lf, v: %lf, Q(p;v): %lf\n", p, v, y );
+ }
+}
+```
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