diff --git a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/README.md
index ec2684a0c76d..ab2b432e3395 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/triangular/quantile/README.md
@@ -158,6 +158,115 @@ for ( i = 0; i < 25; i++ ) {
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+* * *
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/triangular/quantile.h"
+```
+
+#### stdlib_base_dists_triangular_quantile( p, a, b, c )
+
+Evaluates the [quantile function][quantile-function] for a [triangular][triangular-distribution] distribution with parameters `a` (lower limit), `b` (upper limit) and `c` (mode).
+
+```c
+double out = stdlib_base_dists_triangular_quantile( 0.9, -1.0, 1.0, 0.0 );
+// returns ~0.553
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` input probability.
+- **a**: `[in] double` minimum support.
+- **b**: `[in] double` maximum support.
+- **c**: `[in] double` mode.
+
+```c
+double stdlib_base_dists_triangular_quantile( const double p, const double a, const double b, const double c );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/triangular/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 a;
+ double b;
+ double c;
+ double p;
+ double v;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ a = random_uniform( 0.0, 10.0 );
+ b = random_uniform( a, a+10.0 );
+ c = random_uniform( a, b );
+ v = stdlib_base_dists_triangular_quantile( p, a, b, c );
+ printf( "p: %lf, a: %lf, b: %lf, c: %lf, Q(p;a,b,c): %lf\n", p, a, b, c, v );
+ }
+}
+```
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