chore: apply suggestions from code review

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

Author: Planeshifter

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/README.md

@@ -174,7 +174,7 @@ for ( i = 0; i < 10; i++ ) {
 Returns the [variance][variance] of an [Erlang][erlang-distribution] distribution with parameters `k` (shape parameter) and `lambda` (rate parameter).
 
 ```c
-double y = stdlib_base_dists_beta_variance( 1.0, 1.0 );
+double y = stdlib_base_dists_beta_variance( 1, 1.0 );
 // returns 1.0
 ```
 
@@ -221,16 +221,16 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-    int32_t k;
     double lambda;
+    int32_t k;
     double y;
     int i;
 
     for ( i = 0; i < 10; i++ ) {
         k = stdlib_base_round( random_uniform( 0.0, 10.0 ) );
         lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
         y = stdlib_base_dists_erlang_variance( k, lambda );
-        printf( "k: %d, λ: %lf, Var(X;k,λ):: %lf\n", k, lambda, y );
+        printf( "k: %d, λ: %lf, Var(X;k,λ): %lf\n", k, lambda, y );
     }
 }
 ```

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/benchmark/benchmark.js

@@ -44,7 +44,7 @@ bench( pkg, function benchmark( b ) {
 	k = new Int32Array( len );
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		k[ i ] = discreteUniform( 1.0, 10.0 );
+		k[ i ] = discreteUniform( 1, 10 );
 		lambda[ i ] = uniform( EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/benchmark/benchmark.native.js

@@ -53,7 +53,7 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	k = new Int32Array( len );
 	lambda = new Float64Array( len );
 	for ( i = 0; i < len; i++ ) {
-		k[ i ] = discreteUniform( 1.0, 10.0 );
+		k[ i ] = discreteUniform( 1, 10 );
 		lambda[ i ] = uniform( EPS, 10.0 );
 	}
 

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/examples/c/example.c

@@ -29,15 +29,15 @@ static double random_uniform( const double min, const double max ) {
 }
 
 int main( void ) {
-	int32_t k;
 	double lambda;
+	int32_t k;
 	double y;
 	int i;
 
 	for ( i = 0; i < 10; i++ ) {
 		k = stdlib_base_round( random_uniform( 0.0, 10.0 ) );
 		lambda = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 10.0 );
 		y = stdlib_base_dists_erlang_variance( k, lambda );
-		printf( "k: %d, λ: %lf, Var(X;k,λ):: %lf\n", k, lambda, y );
+		printf( "k: %d, λ: %lf, Var(X;k,λ): %lf\n", k, lambda, y );
 	}
 }

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/include/stdlib/stats/base/dists/erlang/variance.h

@@ -29,7 +29,7 @@ extern "C" {
 #endif
 
 /**
-* Returns the variance for a erlang distribution with shape parameter `k` and rate parameter `lambda`.
+* Returns the variance for an Erlang distribution with shape parameter `k` and rate parameter `lambda`.
 */
 double stdlib_base_dists_erlang_variance( const int32_t k, const double lambda );
 

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/manifest.json

@@ -39,7 +39,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/math/base/napi/binary",
-        "@stdlib/math/base/assert/is-positive-integer",
         "@stdlib/math/base/assert/is-nan"
       ]
     },
@@ -57,7 +56,6 @@
       "dependencies": [
         "@stdlib/constants/float64/eps",
         "@stdlib/math/base/special/ceil",
-        "@stdlib/math/base/assert/is-positive-integer",
         "@stdlib/math/base/assert/is-nan"
       ]
     },
@@ -74,7 +72,6 @@
       "libpath": [],
       "dependencies": [
         "@stdlib/constants/float64/eps",
-        "@stdlib/math/base/assert/is-positive-integer",
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/math/base/special/round"
       ]

lib/node_modules/@stdlib/stats/base/dists/erlang/variance/src/main.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dists/erlang/variance.h"
-#include "stdlib/math/base/assert/is_positive_integer.h"
 #include "stdlib/math/base/assert/is_nan.h"
 #include <stdint.h>
 
@@ -29,7 +28,7 @@
 * @return          variance
 *
 * @example
-* double y = stdlib_base_dists_beta_variance( 1.0, 1.0 );
+* double y = stdlib_base_dists_erlang_variance( 1, 1.0 );
 * // returns 1.0
 */
 double stdlib_base_dists_erlang_variance( const int32_t k, const double lambda ) {