diff --git a/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.factory.js
index b7315ea47d62..8a4f584282e0 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.factory.js
@@ -21,11 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var factory = require( './../lib/factory.js' );
 
 
@@ -156,8 +155,6 @@ tape( 'if provided a nonpositive `c`, the created function always returns `NaN`'
 tape( 'the created function evaluates the logcdf for `x` given positive `mu`', function test( t ) {
 	var expected;
 	var logcdf;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -171,13 +168,7 @@ tape( 'the created function evaluates the logcdf for `x` given positive `mu`', f
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( mu[i], c[i] );
 		y = logcdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -185,8 +176,6 @@ tape( 'the created function evaluates the logcdf for `x` given positive `mu`', f
 tape( 'the created function evaluates the logcdf for `x` given negative `mu`', function test( t ) {
 	var expected;
 	var logcdf;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -200,13 +189,7 @@ tape( 'the created function evaluates the logcdf for `x` given negative `mu`', f
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( mu[i], c[i] );
 		y = logcdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -214,8 +197,6 @@ tape( 'the created function evaluates the logcdf for `x` given negative `mu`', f
 tape( 'the created function evaluates the logcdf for `x` given large variance ( = large `b`)', function test( t ) {
 	var expected;
 	var logcdf;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -229,13 +210,7 @@ tape( 'the created function evaluates the logcdf for `x` given large variance (
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( mu[i], c[i] );
 		y = logcdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.logcdf.js
index fb1ee8318643..80e4283735f5 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.logcdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.logcdf.js
@@ -21,11 +21,10 @@
 // MODULES //
 
 var tape = require( 'tape' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var logcdf = require( './../lib' );
 
 
@@ -105,8 +104,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', function test
 
 tape( 'the function evaluates the logcdf for `x` given positive `mu`', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -119,50 +116,32 @@ tape( 'the function evaluates the logcdf for `x` given positive `mu`', function
 	c = positiveMean.c;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], mu[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given negative `mu`', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
 	var x;
 	var y;
 
-	tol = EPS;
-
 	expected = negativeMean.expected;
 	x = negativeMean.x;
 	mu = negativeMean.mu;
 	c = negativeMean.c;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], mu[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given large variance ( = large `b` )', function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -175,13 +154,7 @@ tape( 'the function evaluates the logcdf for `x` given large variance ( = large
 	c = largeVariance.c;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], mu[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 1.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.native.js
index 3ba3546e7195..6bf85155d12a 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/levy/logcdf/test/test.native.js
@@ -23,11 +23,10 @@
 var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // VARIABLES //
@@ -114,8 +113,6 @@ tape( 'if provided a nonpositive `c`, the function returns `NaN`', opts, functio
 
 tape( 'the function evaluates the logcdf for `x` given positive `mu`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -128,50 +125,32 @@ tape( 'the function evaluates the logcdf for `x` given positive `mu`', opts, fun
 	c = positiveMean.c;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], mu[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 3.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given negative `mu`', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
 	var x;
 	var y;
 
-	tol = EPS;
-
 	expected = negativeMean.expected;
 	x = negativeMean.x;
 	mu = negativeMean.mu;
 	c = negativeMean.c;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], mu[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 3.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given large variance ( = large `b` )', opts, function test( t ) {
 	var expected;
-	var delta;
-	var tol;
 	var mu;
 	var c;
 	var i;
@@ -184,13 +163,7 @@ tape( 'the function evaluates the logcdf for `x` given large variance ( = large
 	c = largeVariance.c;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], mu[i], c[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', mu:'+mu[i]+', c: '+c[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 3.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. mu: '+mu[i]+'. c: '+c[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[ i ], 0 ), true, 'returns expected value' );
 	}
 	t.end();
 });