chore: minor clean-up

Signed-off-by: Philipp Burckhardt <[email protected]>

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/README.md

@@ -171,7 +171,7 @@ for ( i = 0; i < 10; i++ ) {
 #include "stdlib/stats/base/dists/invgamma/logpdf.h"
 ```
 
-#### stdlib_base_dists_invgamma_logpdf( mu, b )
+#### 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`.
 
@@ -183,42 +183,55 @@ double out = stdlib_base_dists_invgamma_logpdf( 2.0, 0.5, 1.0 );
 The function accepts the following arguments:
 
 -   **x**: `[in] double` input value.
--   **mu**: `[in] double` location parameter.
--   **b**: `[in] double` rate parameter.
+-   **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 );
 ```
 
 </section>
+
 <!-- /.usage -->
+
 <!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->
+
 <section class="notes">
+
 </section>
+
 <!-- /.notes -->
+
 <!-- C API usage examples. -->
+
 <section class="examples">
+
 ### Examples
+
 ```c
 #include "stdlib/stats/base/dists/laplace/logpdf.h"
+#include "stdlib/constants/float64/eps.h"
 #include <stdlib.h>
 #include <stdio.h>
+
 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 mu;
-    double b;
+    double alpha;
+    double beta;
     double x;
     double y;
     int i;
+
     for ( i = 0; i < 25; i++ ) {
-        mu = random_uniform( -5.0, 5.0 );
-        b = random_uniform( 0.0, 20.0 );
-        x = random_uniform( 0.0, 20.0 );
-        y = stdlib_base_dists_invgamma_logpdf( x, mu, b );
-        printf( "x: %lf, µ: %lf, b: %lf, logpdf(X;x,µ,b): %lf\n", x, mu, b, y );
+        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))(X;x,µ,b): %lf\n", x, alpha, beta, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/examples/c/example.c

@@ -34,9 +34,9 @@ int main( void ) {
 	int i;
 
 	for ( i = 0; i < 25; i++ ) {
-		x = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		alpha = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		beta = random_uniform( 0.0, 10.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+		x = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
+		beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_invgamma_logpdf( x, alpha, beta );
 		printf( "x: %lf, α: %lf, β: %lf, Logpdf(X;x,α,β): %lf\n", x, alpha, beta, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/src/addon.c

@@ -19,5 +19,4 @@
 #include "stdlib/stats/base/dists/invgamma/logpdf.h"
 #include "stdlib/math/base/napi/ternary.h"
 
-// cppcheck-suppress shadowFunction
 STDLIB_MATH_BASE_NAPI_MODULE_DDD_D( stdlib_base_dists_invgamma_logpdf )

lib/node_modules/@stdlib/stats/base/dists/invgamma/logpdf/src/main.c

@@ -23,46 +23,16 @@
 #include "stdlib/constants/float64/ninf.h"
 
 /**
-* Returns 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`.
+* 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`.
 *
-* @param {number} x - input value
-* @param {PositiveNumber} alpha - shape parameter
-* @param {PositiveNumber} beta - scale parameter
-* @returns {number} evaluated logPDF
+* @param x        input value
+* @param alpha    shape parameter
+* @param beta     scale parameter
+* @return         evaluated logPDF
 *
 * @example
 * double y = stdlib_base_dists_invgamma_logpdf( 2.0, 0.5, 1.0 );
 * // returns ~-2.112
-*
-* @example
-* double y = stdlib_base_dists_invgamma_logpdf( 0.2, 1.0, 1.0 );
-* // returns ~-1.781
-*
-* @example
-* double y = stdlib_base_dists_invgamma_logpdf( -1.0, 4.0, 2.0 );
-* // returns -Infinity
-*
-* @example
-* double y = stdlib_base_dists_invgamma_logpdf( NaN, 1.0, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_invgamma_logpdf( 0.0, NaN, 1.0 );
-* // returns NaN
-*
-* @example
-* double y = stdlib_base_dists_invgamma_logpdf( 0.0, 1.0, NaN );
-* // returns NaN
-*
-* @example
-* // Negative shape parameter:
-* double y = stdlib_base_dists_invgamma_logpdf( 2.0, -1.0, 1.0 );
-* // returns NaN
-*
-* @example
-* // Negative scale parameter:
-* double y = stdlib_base_dists_invgamma_logpdf( 2.0, 1.0, -1.0 );
-* // returns NaN
 */
 double stdlib_base_dists_invgamma_logpdf( const double x, const double alpha, const double beta ) {
 	double out;