diff --git a/.github/workflows/scripts/run_tests_coverage b/.github/workflows/scripts/run_tests_coverage
index 303187907c3..6ef1a574e6d 100644
--- a/.github/workflows/scripts/run_tests_coverage
+++ b/.github/workflows/scripts/run_tests_coverage
@@ -122,18 +122,18 @@ compare_cov() {
 
 	if [ "$old_cov_value" == 0 ]; then
 		new_cov_percentage=$(awk "BEGIN {printf \"%.2f\", $new_cov_value*100}")
-		echo "\$\\\\\\\\color{green}+$new_cov_percentage\\\\\\\\%\$"
+		echo "\$\\\\\\\\color{green}+$new_cov_percentage\\\\\\\\\\\\\\\\%\$"
 	else
 		percentage_change=$(awk "BEGIN {printf \"%.2f\", (($new_cov_value - $old_cov_value) / $old_cov_value) * 100}")
 		color="green"
 		sign=""
-		if [ $(awk "BEGIN {if ($percentage_change > 0) print 1; else print 0}") -eq 1 ]; then
+		if [ $(awk "BEGIN {if ($percentage_change >= 0) print 1; else print 0}") -eq 1 ]; then
 			sign="+"
 		elif [ $(awk "BEGIN {if ($percentage_change < 0) print 1; else print 0}") -eq 1 ]; then
 			sign="-"
 			color="red"
 		fi
-		echo "\$\\\\\\\\color{$color}$sign$percentage_change\\\\\\\\%\$"
+		echo "\$\\\\\\\\color{$color}$sign$percentage_change\\\\\\\\\\\\\\\\%\$"
 	fi
 }
 
diff --git a/lib/node_modules/@stdlib/random/base/geometric/lib/geometric.js b/lib/node_modules/@stdlib/random/base/geometric/lib/geometric.js
index 71b6eb8dca1..0c73be892d1 100644
--- a/lib/node_modules/@stdlib/random/base/geometric/lib/geometric.js
+++ b/lib/node_modules/@stdlib/random/base/geometric/lib/geometric.js
@@ -63,7 +63,6 @@ var ln = require( '@stdlib/math/base/special/ln' );
 *
 * which proves that \\(N\\) is a geometric random variable.
 *
-*
 * @private
 * @param {PRNG} rand - PRNG for uniformly distributed numbers
 * @param {Probability} p - success probability
diff --git a/lib/node_modules/@stdlib/random/base/improved-ziggurat/lib/main.js b/lib/node_modules/@stdlib/random/base/improved-ziggurat/lib/main.js
index 86988d115a4..f60ba418816 100644
--- a/lib/node_modules/@stdlib/random/base/improved-ziggurat/lib/main.js
+++ b/lib/node_modules/@stdlib/random/base/improved-ziggurat/lib/main.js
@@ -32,7 +32,6 @@ var factory = require( './factory.js' );
 *
 * The basic Ziggurat method works as follows:
 *
-*
 *     ```tex
 *     x_{C-1}(r) \left[ f(0) - f\left( x_{C-1}(r) \right) \right] - V(r) = 0
 *     ```
@@ -61,7 +60,6 @@ var factory = require( './factory.js' );
 * -   Marsaglia, George, and Wai Wan Tsang. 2000. "The Ziggurat Method for Generating Random Variables." _Journal of Statistical Software_ 5 (1): 1–7. doi:[10.18637/jss.v005.i08](http://dx.doi.org/10.18637/jss.v005.i08).
 * -   Marsaglia, George. 1964. "Generating a Variable from the Tail of the Normal Distribution." _Technometrics_ 6 (1): 101–2. doi:[10.1080/00401706.1964.10490150](http://dx.doi.org/10.1080/00401706.1964.10490150).
 *
-*
 * @name randn
 * @type {PRNG}
 * @returns {number} pseudorandom number
diff --git a/lib/node_modules/@stdlib/random/base/invgamma/lib/main.js b/lib/node_modules/@stdlib/random/base/invgamma/lib/main.js
index 11713908e22..45dc89d7093 100644
--- a/lib/node_modules/@stdlib/random/base/invgamma/lib/main.js
+++ b/lib/node_modules/@stdlib/random/base/invgamma/lib/main.js
@@ -44,7 +44,6 @@ var factory = require( './factory.js' );
 *
 * Hence, to generate a draw from an inverse gamma distribution with parameters \\( \alpha \\) and \\( \beta \\), sample `X` from a \\( \operatorname{Gamma}\left( \alpha, \tfrac{1}{\beta} \right) \\) distribution and return `1/X`.
 *
-*
 * @name invgamma
 * @type {PRNG}
 * @param {PositiveNumber} alpha - shape parameter