chore: changes as per code review

---
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---

Author: 0PrashantYadav0

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/README.md

@@ -196,9 +196,9 @@ double y = stdlib_base_dists_geometric_logcdf( 0.5, -1.0, 1.0, 0.0 );
 The function accepts the following arguments:
 
 -   **x**: `[in] double` input value.
--   **a**: `[in] double` lower limit
--   **b**: `[in] double` upper limit
--   **c**: `[in] double` mode
+-   **a**: `[in] double` lower limit.
+-   **b**: `[in] double` upper limit.
+-   **c**: `[in] double` mode.
 
 ```c
 double stdlib_base_dists_geometric_logcdf( const double x, const double a, const double b, const double c );
@@ -245,8 +245,8 @@ int main( void ) {
     for ( i = 0; i < 25; i++ ) {
         x = random_uniform( 0.0, 30.0 );
         a = random_uniform( 0.0, 10.0 );
-        b = random_uniform( a, 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-        c = a + random_uniform( 0.0, b - a );
+        b = random_uniform( a + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
+        c = random_uniform( a, b );
         y = stdlib_base_dists_triangular_logcdf( x, a, b, c );
         printf( "x: %lf, a: %lf, b: %lf, c: %lf, ln(F(x;a,b,c)): %lf\n", x, a, b, c, y );
     }

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/benchmark/benchmark.js

@@ -48,8 +48,8 @@ bench( pkg, function benchmark( b ) {
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = uniform( 0.0, 30.0 );
 		min[ i ] = uniform( 0.0, 10.0 );
-		max[ i ] = min[ i ] + ( uniform( 0.0, 40.0 ) ) + EPS;
-		mode[ i ] = min[ i ] + ( ( max[ i ] - min[ i ] ) * uniform( 0.0, 1.0 ) ); // eslint-disable-line max-len
+		max[ i ] = uniform( min[ i ] + EPS, min[ i ] + 40.0 );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/benchmark/benchmark.native.js

@@ -57,8 +57,8 @@ bench( pkg+'::native', opts, function benchmark( b ) {
 	for ( i = 0; i < len; i++ ) {
 		x[ i ] = uniform( 0.0, 30.0 );
 		min[ i ] = uniform( 0.0, 10.0 );
-		max[ i ] = min[ i ] + ( uniform( 0.0, 40.0 ) ) + EPS;
-		mode[ i ] = min[ i ] + ( ( max[ i ] - min[ i ] ) * uniform( 0.0, 1.0 ) ); // eslint-disable-line max-len
+		max[ i ] = uniform( min[ i ] + EPS, 40.0 );
+		mode[ i ] = uniform( min[ i ], max[ i ] );
 	}
 
 	b.tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/benchmark/c/benchmark.c

@@ -105,8 +105,8 @@ static double benchmark( void ) {
 	for ( i = 0; i < 100; i++ ) {
 		x[ i ] = random_uniform( 0.0, 30.0 );
 		a[ i ] = random_uniform( 0.0, 10.0 );
-		b[ i ] = random_uniform( a[ i ], 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		c[ i ] = a[ i ] + random_uniform( 0.0, b[ i ] - a[ i ] );
+		b[ i ] = random_uniform( a[ i ] + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
+		c[ i ] = random_uniform( a[ i ], b[ i ] );
 	}
 
 	t = tic();

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/examples/c/example.c

@@ -38,8 +38,8 @@ int main( void ) {
 	for ( i = 0; i < 25; i++ ) {
 		x = random_uniform( 0.0, 30.0 );
 		a = random_uniform( 0.0, 10.0 );
-		b = random_uniform( a, 40.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
-		c = a + random_uniform( 0.0, b - a );
+		b = random_uniform( a + STDLIB_CONSTANT_FLOAT64_EPS, 40.0 );
+		c = random_uniform( a, b );
 		y = stdlib_base_dists_triangular_logcdf( x, a, b, c );
 		printf( "x: %lf, a: %lf, b: %lf, c: %lf, ln(F(x;a,b,c)): %lf\n", x, a, b, c, y );
 	}

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/include/stdlib/stats/base/dists/triangular/logcdf.h

@@ -27,7 +27,7 @@ extern "C" {
 #endif
 
 /**
-* Evaluates the natural logarithm of the cumulative distribution function for the triangular distribution with parameters a, b, and c.
+* Evaluates the natural logarithm of the cumulative distribution function for the triangular distribution with lower limit `a`, upper limit `b`, and mode `c` at a value `x`.
 */
 double stdlib_base_dists_triangular_logcdf( const double x, const double a, const double b, const double c );
 

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/manifest.json

@@ -42,8 +42,7 @@
         "@stdlib/math/base/assert/is-nan",
         "@stdlib/constants/float64/ninf",
         "@stdlib/math/base/special/ln",
-        "@stdlib/math/base/special/pow",
-        "@stdlib/constants/float64/ninf"
+        "@stdlib/math/base/special/pow"
       ]
     },
     {

lib/node_modules/@stdlib/stats/base/dists/triangular/logcdf/src/main.c

@@ -23,7 +23,7 @@
 #include "stdlib/math/base/special/pow.h"
 
 /**
-* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a triangular distribution with lower limit `a` and upper limit `b` and mode `c` at a value `x`.
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for a triangular distribution with lower limit `a`, upper limit `b`, and mode `c` at a value `x`.
 *
 * @param x   input value
 * @param a   lower limit
@@ -32,7 +32,7 @@
 * @return    evaluated logCDF
 *
 * @example
-* double y = stdlib_base_dists_geometric_logcdf( 0.5, -1.0, 1.0, 0.0 );
+* double y = stdlib_base_dists_triangular_logcdf( 0.5, -1.0, 1.0, 0.0 );
 * // returns ~-0.134
 */
 double stdlib_base_dists_triangular_logcdf( const double x, const double a, const double b, const double c ) {