diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/README.md
new file mode 100644
index 000000000000..52c7a35823d0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/README.md
@@ -0,0 +1,187 @@
+
+
+# Logarithm of Cumulative Distribution Function
+
+> Evaluate the natural logarithm of the cumulative distribution function (CDF) for an [Erlang][erlang-distribution] distribution.
+
+
+
+The [cumulative distribution function][cdf] for a [Erlang][erlang-distribution] random variable is
+
+
+
+```math
+F(x; k,\lambda) = 1 - \sum_{n=0}^{k-1}\frac{1}{n!}e^{-\lambda x}(\lambda x)^n
+```
+
+
+
+
+
+where `k` is the nonnegative integer shape parameter and `lambda > 0` is the rate parameter. The [Erlang][erlang-distribution] distribution is a special case of the gamma distribution, as `k` is constrained to the natural numbers.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var logcdf = require( '@stdlib/stats/base/dists/erlang/logcdf' );
+```
+
+#### logcdf( x, k, lambda )
+
+Evaluates the natural logarithm of the [cumulative distribution function][cdf] (CDF) for an [Erlang][erlang-distribution] distribution with parameters `k` (shape parameter) and `lambda` (rate parameter).
+
+```javascript
+var y = logcdf( 2.0, 1, 1.0 );
+// returns ~-0.145
+
+y = logcdf( 2.0, 3, 1.0 );
+// returns ~-1.129
+
+y = logcdf( -1.0, 2, 2.0 );
+// returns -Infinity
+
+y = logcdf( -Infinity, 4, 2.0 );
+// returns -Infinity
+
+y = logcdf( +Infinity, 4, 2.0 );
+// returns 0.0
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = logcdf( NaN, 1, 1.0 );
+// returns NaN
+
+y = logcdf( 0.0, NaN, 1.0 );
+// returns NaN
+
+y = logcdf( 0.0, 1, NaN );
+// returns NaN
+```
+
+If not provided a nonnegative integer for `k`, the function returns `NaN`.
+
+```javascript
+var y = logcdf( 2.0, -2, 0.5 );
+// returns NaN
+
+y = logcdf( 2.0, 0.5, 0.5 );
+// returns NaN
+```
+
+If provided `k = 0`, the function evaluates the logarithm of the [CDF][cdf] of a [degenerate distribution][degenerate-distribution] centered at `0`.
+
+```javascript
+var y = logcdf( 2.0, 0.0, 2.0 );
+// returns -0.0
+
+y = logcdf( -2.0, 0.0, 2.0 );
+// returns -Infinity
+
+y = logcdf( 0.0, 0.0, 2.0 );
+// returns -0.0
+```
+
+If provided `lambda <= 0`, the function returns `NaN`.
+
+```javascript
+var y = logcdf( 2.0, 1, 0.0 );
+// returns NaN
+
+y = logcdf( 2.0, 1, -5.0 );
+// returns NaN
+```
+
+#### logcdf.factory( k, lambda )
+
+Returns a `function` for evaluating the [cumulative distribution function][cdf] for an [Erlang][erlang-distribution] distribution with parameters `k` (shape parameter) and `lambda` (rate parameter).
+
+```javascript
+var mylogcdf = logcdf.factory( 2, 0.5 );
+
+var y = mylogcdf( 6.0 );
+// returns ~-0.222
+
+y = mylogcdf( 2.0 );
+// returns ~-1.331
+```
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var logcdf = require( '@stdlib/stats/base/dists/erlang/logcdf' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = uniform( 20, 0.0, 10.0, opts );
+var k = discreteUniform( 20, 0, 10, opts );
+var lambda = uniform( 20, 0.0, 5.0, opts );
+
+logEachMap( 'x: %lf, k: %d, λ: %lf, F(x;k,λ): %lf', x, k, lambda, logcdf );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function
+
+[degenerate-distribution]: https://en.wikipedia.org/wiki/Degenerate_distribution
+
+[erlang-distribution]: https://en.wikipedia.org/wiki/Erlang_distribution
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/benchmark/benchmark.js
new file mode 100644
index 000000000000..f83926244b94
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/benchmark/benchmark.js
@@ -0,0 +1,90 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
+var pkg = require( './../package.json' ).name;
+var logcdf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var lambda;
+ var len;
+ var k;
+ var x;
+ var y;
+ var i;
+
+ len = 100;
+ x = uniform( len, 0.0, 100.0 );
+ k = discreteUniform( len, 0.0, 100.0 );
+ lambda = uniform( len, EPS, 20.0 );
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = logcdf( x[ i % len ], k[ i % len ], lambda[ i % len ] );
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s::factory', pkg ), function benchmark( b ) {
+ var mylogpdf;
+ var lambda;
+ var len;
+ var k;
+ var x;
+ var y;
+ var i;
+
+ len = 100;
+ k = 2.0;
+ lambda = 1.5;
+ x = uniform( len, EPS, 50.0 );
+ mylogpdf = logcdf.factory( k, lambda );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = mylogpdf( x[ i % len ] );
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/repl.txt
new file mode 100644
index 000000000000..bb9f7d0efc2b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/repl.txt
@@ -0,0 +1,83 @@
+
+{{alias}}( x, k, λ )
+ Evaluates the natural logarithm of cumulative distribution function
+ (CDF) for an Erlang distribution with shape parameter `k` and rate
+ parameter `λ` at a value `x`.
+
+ If provided `NaN` as any argument, the function returns `NaN`.
+
+ If not provided a nonnegative integer for `k`, the function returns `NaN`.
+
+ If provided a non-positive value for `λ`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ x: number
+ Input value.
+
+ k: number
+ Shape parameter.
+
+ λ: number
+ Rate parameter.
+
+ Returns
+ -------
+ out: number
+ Evaluated logCDF.
+
+ Examples
+ --------
+ > var y = {{alias}}( 2.0, 1, 1.0 )
+ ~-0.145
+ > y = {{alias}}( 2.0, 3, 1.0 )
+ ~-1.129
+ > y = {{alias}}( 2.0, 2.5, 1.0 )
+ NaN
+ > y = {{alias}}( -1.0, 2, 2.0 )
+ -Infinity
+ > y = {{alias}}( {{alias:@stdlib/constants/float64/pinf}}, 4, 2.0 )
+ 0.0
+ > y = {{alias}}( {{alias:@stdlib/constants/float64/ninf}}, 4, 2.0 )
+ -Infinity
+ > y = {{alias}}( NaN, 0, 1.0 )
+ NaN
+ > y = {{alias}}( 0.0, NaN, 1.0 )
+ NaN
+ > y = {{alias}}( 0.0, 0, NaN )
+ NaN
+ > y = {{alias}}( 2.0, -1, 1.0 )
+ NaN
+ > y = {{alias}}( 2.0, 1, -1.0 )
+ NaN
+
+
+{{alias}}.factory( k, λ )
+ Returns a function for evaluating the natural logarithm of cumulative
+ distribution function (CDF) of an Erlang distribution with shape parameter
+ `k` and rate parameter `λ`.
+
+ Parameters
+ ----------
+ k: number
+ Shape parameter.
+
+ λ: number
+ Rate parameter.
+
+ Returns
+ -------
+ logcdf: Function
+ Natural logarithm of cumulative distribution function (CDF).
+
+ Examples
+ --------
+ > var mycdf = {{alias}}.factory( 2, 0.5 );
+ > var y = mycdf( 6.0 )
+ ~-0.222
+ > y = mycdf( 2.0 )
+ ~-1.331
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/types/index.d.ts
new file mode 100644
index 000000000000..17bffccd653d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/types/index.d.ts
@@ -0,0 +1,137 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for an Erlang distribution.
+*
+* @param x - input value
+* @returns evaluated logCDF
+*/
+type Unary = ( x: number ) => number;
+
+/**
+* Interface for the natural logarithm of the cumulative distribution function (logCDF) of an Erlang distribution.
+*/
+interface LogCDF {
+ /**
+ * Evaluates the natural logarithm of the cumulative distribution function (CDF) for an Erlang distribution with shape parameter `k` and rate parameter `lambda` at a value `x`.
+ *
+ * ## Notes
+ *
+ * - If not provided a nonnegative integer for `k`, the function returns `NaN`.
+ * - If provided a non-positive value for `lambda`, the function returns `NaN`.
+ *
+ * @param x - input value
+ * @param k - shape parameter
+ * @param lambda - rate parameter
+ * @returns evaluated logCDF
+ *
+ * @example
+ * var y = logcdf( 2.0, 1, 1.0 );
+ * // returns ~-0.145
+ *
+ * @example
+ * var y = logcdf( 2.0, 3, 1.0 );
+ * // returns ~-1.129
+ *
+ * @example
+ * var y = logcdf( 2.0, 2.5, 1.0 );
+ * // returns NaN
+ *
+ * @example
+ * var y = logcdf( -1.0, 2, 2.0 );
+ * // returns -Infinity
+ *
+ * @example
+ * var y = logcdf( +Infinity, 4, 2.0 );
+ * // returns 0.0
+ *
+ * @example
+ * var y = logcdf( -Infinity, 4, 2.0 );
+ * // returns -Infinity
+ *
+ * @example
+ * var y = logcdf( NaN, 0, 1.0 );
+ * // returns NaN
+ *
+ * @example
+ * var y = logcdf( 0.0, NaN, 1.0 );
+ * // returns NaN
+ *
+ * @example
+ * var y = logcdf( 0.0, 0, NaN );
+ * // returns NaN
+ *
+ * @example
+ * var y = logcdf( 2.0, -1, 1.0 );
+ * // returns NaN
+ *
+ * @example
+ * var y = logcdf( 2.0, 1, -1.0 );
+ * // returns NaN
+ */
+ ( x: number, k: number, lambda: number ): number;
+
+ /**
+ * Returns a function for evaluating the natural logarithm of the cumulative distribution function (CDF) for an Erlang distribution with shape parameter `k` and rate parameter `lambda`.
+ *
+ * @param k - shape parameter
+ * @param lambda - rate parameter
+ * @returns logCDF
+ *
+ * @example
+ * var myLogCDF = logcdf.factory( 2, 0.1 );
+ * var y = myLogCDF( 12.0 );
+ * // returns ~-1.087
+ *
+ * y = myLogCDF( 8.0 );
+ * // returns ~-1.654
+ */
+ factory( k: number, lambda: number ): Unary;
+}
+
+/**
+* Erlang distribution natural logarithm of the cumulative distribution function (CDF).
+*
+* @param x - input value
+* @param k - shape parameter
+* @param lambda - rate parameter
+* @returns evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 8, 3.0 );
+* // returns ~-1.36
+*
+* y = logcdf( 0.0, 1, 1.0 );
+* // returns -Infinity
+*
+* var myLogCDF = logcdf.factory( 2, 0.5 );
+* y = myLogCDF( 6.0 );
+* // returns ~-0.222
+*
+* y = myLogCDF( 2.0 );
+* // returns ~-1.33
+*/
+declare var logcdf: LogCDF;
+
+
+// EXPORTS //
+
+export = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/types/test.ts
new file mode 100644
index 000000000000..784bffdc827a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/docs/types/test.ts
@@ -0,0 +1,119 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import logcdf = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ logcdf( 2, 2, 4 ); // $ExpectType number
+ logcdf( 1, 2, 8 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided values other than three numbers...
+{
+ logcdf( true, 3, 6 ); // $ExpectError
+ logcdf( false, 2, 4 ); // $ExpectError
+ logcdf( '5', 1, 2 ); // $ExpectError
+ logcdf( [], 1, 2 ); // $ExpectError
+ logcdf( {}, 2, 4 ); // $ExpectError
+ logcdf( ( x: number ): number => x, 2, 4 ); // $ExpectError
+
+ logcdf( 9, true, 12 ); // $ExpectError
+ logcdf( 9, false, 12 ); // $ExpectError
+ logcdf( 5, '5', 10 ); // $ExpectError
+ logcdf( 8, [], 16 ); // $ExpectError
+ logcdf( 9, {}, 18 ); // $ExpectError
+ logcdf( 8, ( x: number ): number => x, 16 ); // $ExpectError
+
+ logcdf( 9, 5, true ); // $ExpectError
+ logcdf( 9, 5, false ); // $ExpectError
+ logcdf( 5, 2, '5' ); // $ExpectError
+ logcdf( 8, 4, [] ); // $ExpectError
+ logcdf( 9, 4, {} ); // $ExpectError
+ logcdf( 8, 5, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ logcdf(); // $ExpectError
+ logcdf( 2 ); // $ExpectError
+ logcdf( 2, 0 ); // $ExpectError
+ logcdf( 2, 0, 4, 1 ); // $ExpectError
+}
+
+// Attached to main export is a `factory` method which returns a function...
+{
+ logcdf.factory( 3, 4 ); // $ExpectType Unary
+}
+
+// The `factory` method returns a function which returns a number...
+{
+ const fcn = logcdf.factory( 3, 4 );
+ fcn( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided invalid arguments...
+{
+ const fcn = logcdf.factory( 3, 4 );
+ fcn( true ); // $ExpectError
+ fcn( false ); // $ExpectError
+ fcn( '5' ); // $ExpectError
+ fcn( [] ); // $ExpectError
+ fcn( {} ); // $ExpectError
+ fcn( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an unsupported number of arguments...
+{
+ const fcn = logcdf.factory( 3, 4 );
+ fcn(); // $ExpectError
+ fcn( 2, 0 ); // $ExpectError
+ fcn( 2, 0, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided values other than two numbers...
+{
+ logcdf.factory( true, 3 ); // $ExpectError
+ logcdf.factory( false, 2 ); // $ExpectError
+ logcdf.factory( '5', 1 ); // $ExpectError
+ logcdf.factory( [], 1 ); // $ExpectError
+ logcdf.factory( {}, 2 ); // $ExpectError
+ logcdf.factory( ( x: number ): number => x, 2 ); // $ExpectError
+
+ logcdf.factory( 9, true ); // $ExpectError
+ logcdf.factory( 9, false ); // $ExpectError
+ logcdf.factory( 5, '5' ); // $ExpectError
+ logcdf.factory( 8, [] ); // $ExpectError
+ logcdf.factory( 9, {} ); // $ExpectError
+ logcdf.factory( 8, ( x: number ): number => x ); // $ExpectError
+
+ logcdf.factory( [], true ); // $ExpectError
+ logcdf.factory( {}, false ); // $ExpectError
+ logcdf.factory( false, '5' ); // $ExpectError
+ logcdf.factory( {}, [] ); // $ExpectError
+ logcdf.factory( '5', ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
+{
+ logcdf.factory( 0 ); // $ExpectError
+ logcdf.factory( 0, 4, 8 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/examples/index.js
new file mode 100644
index 000000000000..de30680730b9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var logcdf = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = uniform( 20, 0.1, 10.0, opts );
+var k = discreteUniform( 20, 1, 10, opts );
+var lambda = uniform( 20, 0.1, 5.0, opts );
+
+logEachMap( 'x: %lf, k: %d, λ: %lf, F(x;k,λ): %lf', x, k, lambda, logcdf );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/factory.js
new file mode 100644
index 000000000000..54f0ee098df6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/factory.js
@@ -0,0 +1,55 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
+var constantFunction = require( '@stdlib/utils/constant-function' );
+var factoryGamma = require( '@stdlib/stats/base/dists/gamma/logcdf' ).factory;
+
+
+// MAIN //
+
+/**
+* Returns a function for evaluating the natural logarithm of thecumulative distribution function (CDF) for an Erlang distribution with shape parameter `k` and rate parameter `lambda`.
+*
+* @param {NonNegativeInteger} k - shape parameter
+* @param {PositiveNumber} lambda - rate parameter
+* @returns {Function} logCDF
+*
+* @example
+* var logcdf = factory( 2, 0.1 );
+* var y = logcdf( 12.0 );
+* // returns ~-1.087
+*
+* y = logcdf( 8.0 );
+* // returns ~-1.654
+*/
+function factory( k, lambda ) {
+ if ( !isNonNegativeInteger( k ) ) {
+ return constantFunction( NaN );
+ }
+ return factoryGamma( k, lambda );
+}
+
+
+// EXPORTS //
+
+module.exports = factory;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/index.js
new file mode 100644
index 000000000000..cc3fd59c1ffb
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/index.js
@@ -0,0 +1,57 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Evaluate the natural logarithm of the Erlang distribution cumulative distribution function (CDF).
+*
+* @module @stdlib/stats/base/dists/erlang/logcdf
+*
+* @example
+* var logcdf = require( '@stdlib/stats/base/dists/erlang/logcdf' );
+*
+* var y = logcdf( 2.0, 8, 3.0 );
+* // returns ~-1.362
+*
+* y = logcdf( 0.0, 1, 1.0 );
+* // returns -Infinity
+*
+* var mylogcdf = logcdf.factory( 2, 0.5 );
+* y = mylogcdf( 6.0 );
+* // returns ~-0.222
+*
+* y = mylogcdf( 2.0 );
+* // returns ~-1.331
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var factory = require( './factory.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'factory', factory );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/main.js
new file mode 100644
index 000000000000..e30603fffd93
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/lib/main.js
@@ -0,0 +1,94 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isNonNegativeInteger = require( '@stdlib/math/base/assert/is-nonnegative-integer' );
+var gammaLogCDF = require( '@stdlib/stats/base/dists/gamma/logcdf' );
+
+
+// MAIN //
+
+/**
+* Evaluates the natural logarithm of the cumulative distribution function (CDF) for an Erlang distribution with shape parameter `k` and rate parameter `lambda` at a value `x`.
+*
+* @param {number} x - input value
+* @param {NonNegativeInteger} k - shape parameter
+* @param {PositiveNumber} lambda - rate parameter
+* @returns {number} evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 1, 1.0 );
+* // returns ~-0.145
+*
+* @example
+* var y = logcdf( 2.0, 3, 1.0 );
+* // returns ~-1.129
+*
+* @example
+* var y = logcdf( 2.0, 2.5, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( -1.0, 2, 2.0 );
+* // returns -Infinity
+*
+* @example
+* var y = logcdf( +Infinity, 4, 2.0 );
+* // returns 0.0
+*
+* @example
+* var y = logcdf( -Infinity, 4, 2.0 );
+* // returns -Infinity
+*
+* @example
+* var y = logcdf( NaN, 0, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 0.0, NaN, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 0.0, 0, NaN );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 2.0, -1, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 2.0, 1, -1.0 );
+* // returns NaN
+*/
+function logcdf( x, k, lambda ) {
+ if ( x === -Infinity ) {
+ return -Infinity;
+ }
+ if ( !isNonNegativeInteger( k ) || lambda <= 0 ) {
+ return NaN;
+ }
+ return gammaLogCDF( x, k, lambda );
+}
+
+
+// EXPORTS //
+
+module.exports = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/package.json b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/package.json
new file mode 100644
index 000000000000..362bfea53fe8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/package.json
@@ -0,0 +1,68 @@
+{
+ "name": "@stdlib/stats/base/dists/erlang/logcdf",
+ "version": "0.0.0",
+ "description": "Natural logarithm of erlang distribution cumulative distribution function (CDF).",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "distribution",
+ "dist",
+ "probability",
+ "logcdf",
+ "logarithm",
+ "log",
+ "cumulative distribution",
+ "distribution function",
+ "erlang",
+ "univariate",
+ "continuous"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..98be20b58ed3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/REQUIRE
@@ -0,0 +1,3 @@
+Distributions 0.23.8
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..e3f1572fd681
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/data.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..ac705c610da2
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/fixtures/julia/runner.jl
@@ -0,0 +1,77 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import Distributions: cdf, Erlang
+import JSON
+
+"""
+ gen( x, k, lambda, name )
+
+Generate fixture data and write to file.
+
+# Arguments
+
+* `x`: input value
+* `k`: shape parameter
+* `lambda`: rate parameter
+* `name::AbstractString`: output filename
+
+# Examples
+
+``` julia
+julia> x = rand( 1000 ) .* 20.0;
+julia> k = round.( Int64, ( rand( 1000 ) .* 10.0 ) .+ 10.0 );
+julia> lambda = rand( 1000 ) .* 20.0;
+julia> gen( x, k, lambda, "data.json" );
+```
+"""
+function gen( x, k, lambda, name )
+ z = Array{Float64}( undef, length(x) );
+ for i in eachindex(x)
+ z[ i ] = log(cdf( Erlang( k[i], 1/lambda[i] ), x[i] ));
+ end
+
+ # Store data to be written to file as a collection:
+ data = Dict([
+ ("x", x),
+ ("k", k),
+ ("lambda", lambda),
+ ("expected", z)
+ ]);
+
+ # Based on the script directory, create an output filepath:
+ filepath = joinpath( dir, name );
+
+ # Write the data to the output filepath as JSON:
+ outfile = open( filepath, "w" );
+ write( outfile, JSON.json(data) );
+ write( outfile, "\n" );
+ close( outfile );
+end
+
+# Get the filename:
+file = @__FILE__;
+
+# Extract the directory in which this file resides:
+dir = dirname( file );
+
+# Both large:
+x = rand( 1000 ) .* 5.0;
+k = round.( Int64, rand( 1000 ) .* 10.0 ) .+ 10;
+lambda = ( rand( 1000 ) .* 10.0 ) .+ 10.0;
+gen( x, k, lambda, "data.json" );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.factory.js
new file mode 100644
index 000000000000..b97c2580d311
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.factory.js
@@ -0,0 +1,188 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+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' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof factory, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function returns a function', function test( t ) {
+ var logcdf = factory( 0.0, 1.0 );
+ t.strictEqual( typeof logcdf, 'function', 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) {
+ var cdf;
+ var y;
+
+ cdf = factory( 1, 1.0 );
+ y = cdf( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ cdf = factory( NaN, 1.0 );
+ y = cdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ cdf = factory( 1, NaN );
+ y = cdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ cdf = factory( NaN, NaN );
+ y = cdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ cdf = factory( NaN, NaN );
+ y = cdf( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a finite `k` and `lambda`, the function returns a function which returns `0` when provided `+infinity` for `x`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 2, 1.0 );
+ y = logcdf( PINF );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a finite `k` and `lambda`, the function returns a function which returns `-Infinity` when provided `-infinity` for `x`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 2, 1.0 );
+ y = logcdf( NINF );
+ t.strictEqual( y, NINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a negative `lambda`, the created function always returns `NaN`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 2, -1.0 );
+
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( 0.0, NINF );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( PINF, NINF );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NINF, NINF );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NaN, NINF );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a negative `k`, the created function always returns `NaN`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( -1.0, 0.5 );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NINF, 1.0 );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NINF, PINF );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NINF, NINF );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NINF, NaN );
+ y = logcdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the created function evaluates the logcdf for `x` given rate parameter `lambda` and shape parameter `k`', function test( t ) {
+ var expected;
+ var lambda;
+ var logcdf;
+ var delta;
+ var tol;
+ var i;
+ var k;
+ var x;
+ var y;
+
+ expected = data.expected;
+ x = data.x;
+ k = data.k;
+ lambda = data.lambda;
+ for ( i = 0; i < x.length; i++ ) {
+ logcdf = factory( k[i], lambda[i] );
+ y = logcdf( x[i] );
+ if ( y === expected[i] ) {
+ t.strictEqual( y, expected[i], 'x: '+x[i]+', k:'+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+ } else {
+ delta = abs( y - expected[ i ] );
+ tol = 450.0 * EPS * abs( expected[ i ] );
+ t.ok( delta<=tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.js
new file mode 100644
index 000000000000..b45719a84984
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var logcdf = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'attached to the main export is a factory method for generating `logcdf` functions', function test( t ) {
+ t.strictEqual( typeof logcdf.factory, 'function', 'exports a factory method' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.logcdf.js
new file mode 100644
index 000000000000..d4f7a55037c9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/erlang/logcdf/test/test.logcdf.js
@@ -0,0 +1,140 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+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' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof logcdf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+ var y = logcdf( NaN, 1.0, 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ y = logcdf( 0.0, NaN, 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ y = logcdf( 0.0, 1.0, NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a finite `k` and `lambda`, the function returns `0`', function test( t ) {
+ var y = logcdf( PINF, 1.0, 1.0 );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `-infinity` for `x` and a finite `k` and `lambda`, the function returns `-Infinity`', function test( t ) {
+ var y = logcdf( NINF, 1.0, 1.0 );
+ t.strictEqual( y, NINF, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `k <= 0`, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = logcdf( 2.0, -1.0, 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 0.0, -1.0, 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, NINF, 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, NINF, PINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, NINF, NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, NINF, NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `lambda <= 0`, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = logcdf( 2.0, 2.0, -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 0.0, 2.0, -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, 1.0, NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, PINF, NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, NINF, NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 2.0, NaN, NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given shape parameter `k` and given rate parameter `lambda`', function test( t ) {
+ var expected;
+ var lambda;
+ var delta;
+ var tol;
+ var i;
+ var k;
+ var x;
+ var y;
+
+ expected = data.expected;
+ x = data.x;
+ k = data.k;
+ lambda = data.lambda;
+ for ( i = 0; i < x.length; i++ ) {
+ y = logcdf( x[i], k[i], lambda[i] );
+ if ( y === expected[i] ) {
+ t.strictEqual( y, expected[i], 'x: '+x[i]+', k: '+k[i]+', lambda: '+lambda[i]+', y: '+y+', expected: '+expected[i] );
+ } else {
+ delta = abs( y - expected[ i ] );
+ tol = 450.0 * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: '+x[ i ]+'. k: '+k[i]+'. lambda: '+lambda[i]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});