diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
index fdf187811e00..e2e258436041 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.factory.js
@@ -22,10 +22,9 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 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' );
 
 
@@ -139,9 +138,7 @@ tape( 'if provided a nonpositive `gamma`, the created function always returns `N
 tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma` (large gamma)', function test( t ) {
 	var expected;
 	var logcdf;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var i;
 	var x;
@@ -154,13 +151,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( x0[i], gamma[i] );
 		y = logcdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -168,9 +159,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0`)', function test( t ) {
 	var expected;
 	var logcdf;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var i;
 	var x;
@@ -183,13 +172,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( x0[i], gamma[i] );
 		y = logcdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
 	}
 	t.end();
 });
@@ -197,9 +180,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0`)', function test( t ) {
 	var expected;
 	var logcdf;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var i;
 	var x;
@@ -212,13 +193,7 @@ tape( 'the created function evaluates the logcdf for `x` given `x0` and `gamma`
 	for ( i = 0; i < x.length; i++ ) {
 		logcdf = factory( x0[i], gamma[i] );
 		y = logcdf( x[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
index b20b7127d274..fd8fbc36b36c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.logcdf.js
@@ -22,10 +22,9 @@
 
 var tape = require( 'tape' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 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' );
 
 
@@ -95,9 +94,7 @@ tape( 'if provided a nonpositive `gamma`, the function always returns `NaN`', fu
 
 tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `gamma`)', function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -109,22 +106,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
 	gamma = largeGamma.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0`)', function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -136,22 +125,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
 	gamma = negativeMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0`)', function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -163,13 +144,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
 	gamma = positiveMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
 	}
 	t.end();
 });
diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
index 75a5f9400ce5..95d277a5658f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/logcdf/test/test.native.js
@@ -24,10 +24,9 @@ var resolve = require( 'path' ).resolve;
 var tape = require( 'tape' );
 var tryRequire = require( '@stdlib/utils/try-require' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var abs = require( '@stdlib/math/base/special/abs' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
 var PINF = require( '@stdlib/constants/float64/pinf' );
 var NINF = require( '@stdlib/constants/float64/ninf' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 
 
 // FIXTURES //
@@ -104,9 +103,7 @@ tape( 'if provided a nonpositive `gamma`, the function always returns `NaN`', op
 
 tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `gamma`)', opts, function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -118,22 +115,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (large `
 	gamma = largeGamma.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 7.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 9 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0`)', opts, function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -145,22 +134,14 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 < 0
 	gamma = negativeMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 300.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 12 ), true, 'returns expected value' );
 	}
 	t.end();
 });
 
 tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0`)', opts, function test( t ) {
 	var expected;
-	var delta;
 	var gamma;
-	var tol;
 	var x0;
 	var x;
 	var y;
@@ -172,13 +153,7 @@ tape( 'the function evaluates the logcdf for `x` given `x0` and `gamma` (`x0 > 0
 	gamma = positiveMedian.gamma;
 	for ( i = 0; i < x.length; i++ ) {
 		y = logcdf( x[i], x0[i], gamma[i] );
-		if ( y === expected[i] ) {
-			t.strictEqual( y, expected[i], 'x: '+x[i]+', x0:'+x0[i]+', gamma: '+gamma[i]+', y: '+y+', expected: '+expected[i] );
-		} else {
-			delta = abs( y - expected[ i ] );
-			tol = 220.0 * EPS * abs( expected[ i ] );
-			t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. x0: '+x0[i]+'. gamma: '+gamma[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
-		}
+		t.strictEqual( isAlmostSameValue( y, expected[i], 6 ), true, 'returns expected value' );
 	}
 	t.end();
 });