diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/README.md
new file mode 100644
index 000000000000..ebd328bf836d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/README.md
@@ -0,0 +1,149 @@
+
+
+# Logarithm of Cumulative Distribution Function
+
+> Evaluate the logarithm of [cumulative distribution function][cdf] Planck (discrete exponential) distribution.
+
+
+
+The [cumulative distribution function][cdf] for a Planck random variable is
+
+
+
+```math
+F(x;\lambda) = 1 - e^{-\lambda (\lfloor x \rfloor + 1)}
+```
+
+
+
+where `λ` is the shape parameter and `x` denotes the count of events in a quantized system.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var logcdf = require( '@stdlib/stats/base/dists/planck/logcdf' );
+```
+
+#### logcdf( x, lambda )
+
+Evaluates the logarithm of the [cumulative distribution function][cdf] for a Planck (discrete exponential) distribution with shape parameter `lambda`.
+
+```javascript
+var y = logcdf( 2.0, 0.5 );
+// returns ~-0.2525
+
+y = logcdf( 2.0, 1.5 );
+// returns ~-0.0112
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = logcdf( NaN, 0.5 );
+// returns NaN
+
+y = logcdf( 0.0, NaN );
+// returns NaN
+```
+
+If provided a shape parameter `lambda` which is nonpositive, the function returns `NaN`.
+
+```javascript
+var y = logcdf( 2.0, -1.0 );
+// returns NaN
+```
+
+#### logcdf.factory( lambda )
+
+Returns a function for evaluating the logarithm of the [cumulative distribution function][cdf] of a Planck (discrete exponential) distribution with shape parameter `lambda`.
+
+```javascript
+var mylogcdf = logcdf.factory( 1.5 );
+var y = mylogcdf( 3.0 );
+// returns ~-0.0025
+
+y = mylogcdf( 1.0 );
+// returns ~-0.0511
+```
+
+
+
+
+
+
+
+## Notes
+
+- In virtually all cases, using the `logpmf` or `logcdf` functions is preferable to manually computing the logarithm of the `pmf` or `cdf`, respectively, since the latter is prone to overflow and underflow.
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var logcdf = require( '@stdlib/stats/base/dists/planck/logcdf' );
+
+var x = discreteUniform( 10, 0, 5 );
+var lambda = uniform( 10, 0.1, 5.0 );
+
+var y;
+var i;
+for ( i = 0; i < lambda.length; i++ ) {
+ y = logcdf( x[ i ], lambda[ i ] );
+ console.log( 'x: %d, λ: %d, ln(F(x;λ)): %d', x[ i ].toFixed( 4 ), lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[cdf]: https://en.wikipedia.org/wiki/Cumulative_distribution_function
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/benchmark/benchmark.js
new file mode 100644
index 000000000000..fe7102fcfe17
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/benchmark/benchmark.js
@@ -0,0 +1,79 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pkg = require( './../package.json' ).name;
+var logcdf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var lambda;
+ var x;
+ var y;
+ var i;
+
+ x = discreteUniform( 100, 0, 40 );
+ lambda = uniform( 100, 0.1, 10.0 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = logcdf( x[ i % x.length ], lambda[ i % lambda.length ] );
+ 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( pkg+':factory', function benchmark( b ) {
+ var mylogcdf;
+ var x;
+ var y;
+ var i;
+
+ x = discreteUniform( 100, 0, 40 );
+ mylogcdf = logcdf.factory( 0.3 );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = mylogcdf( x[ i % x.length ] );
+ 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/planck/logcdf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/repl.txt
new file mode 100644
index 000000000000..fb61de6f219a
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/repl.txt
@@ -0,0 +1,65 @@
+
+{{alias}}( x, λ )
+ Evaluates the logarithm of the cumulative distribution function (CDF) for a
+ Planck distribution with shape parameter `λ` at a value `x`.
+
+ If provided `NaN` as any argument, the function returns `NaN`.
+
+ If `λ <= 0`, the function returns `NaN`.
+
+ Parameters
+ ----------
+ x: number
+ Input value.
+
+ λ: number
+ Shape parameter.
+
+ Returns
+ -------
+ out: number
+ Evaluated logCDF.
+
+ Examples
+ --------
+ > var y = {{alias}}( 2.0, 0.5 )
+ ~-0.2525
+ > y = {{alias}}( 2.0, 1.5 )
+ ~-0.0112
+ > y = {{alias}}( -1.0, 4.0 )
+ -Infinity
+ > y = {{alias}}( NaN, 0.5 )
+ NaN
+ > y = {{alias}}( 0.0, NaN )
+ NaN
+ // Invalid shape parameter
+ > y = {{alias}}( 2.0, -1.4 )
+ NaN
+
+
+{{alias}}.factory( λ )
+ Returns a function for evaluating the logarithm of the cumulative
+ distribution function (CDF) of a Planck distribution with shape parameter
+ `λ`.
+
+ Parameters
+ ----------
+ λ: number
+ Shape parameter.
+
+ Returns
+ -------
+ logcdf: Function
+ Logarithm of cumulative distribution function (CDF).
+
+ Examples
+ --------
+ > var mylogcdf = {{alias}}.factory( 1.5 );
+ > var y = mylogcdf( 3.0 )
+ ~-0.0025
+ > y = mylogcdf( 1.0 )
+ ~-0.0511
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/types/index.d.ts
new file mode 100644
index 000000000000..b290a86a7b67
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/types/index.d.ts
@@ -0,0 +1,114 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 a Planck distribution.
+*
+* @param x - input value
+* @returns evaluated logCDF
+*/
+type Unary = ( x: number ) => number;
+
+/**
+* Interface for the logarithm of the cumulative distribution function (CDF) of a Planck distribution.
+*/
+interface LogCDF {
+ /**
+ * Evaluates the logarithm of the cumulative distribution function (CDF) for a Planck distribution with shape parameter `lambda` at a value `x`.
+ *
+ * ## Notes
+ *
+ * - If `lambda <= 0`, the function returns `NaN`.
+ *
+ * @param x - input value
+ * @param lambda - shape parameter
+ * @returns evaluated logCDF
+ *
+ * @example
+ * var y = logcdf( 2.0, 0.5 );
+ * // returns ~-0.2525
+ *
+ * @example
+ * var y = logcdf( 2.0, 1.5 );
+ * // returns ~-0.0112
+ *
+ * @example
+ * var y = logcdf( -1.0, 0.5 );
+ * // returns -Infinity
+ *
+ * @example
+ * var y = logcdf( NaN, 0.5 );
+ * // returns NaN
+ *
+ * @example
+ * var y = logcdf( 0.0, NaN );
+ * // returns NaN
+ *
+ * @example
+ * // Invalid shape parameter
+ * var y = logcdf( 2.0, -1.4 );
+ * // returns NaN
+ */
+ ( x: number, lambda: number ): number;
+
+ /**
+ * Returns a function for evaluating the logarithm of the cumulative distribution function (CDF) for a Planck distribution with shape parameter `lambda`.
+ *
+ * @param lambda - shape parameter
+ * @returns logCDF
+ *
+ * @example
+ * var mylogcdf = logcdf.factory( 1.5 );
+ * var y = mylogcdf( 3.0 );
+ * // returns ~-0.0025
+ *
+ * y = mylogcdf( 1.0 );
+ * // returns ~-0.0511
+ */
+ factory( lambda: number ): Unary;
+}
+
+/**
+* Evaluates the logarithm of cumulative distribution function (CDF) for a Planck distribution with shape parameter `lambda`.
+*
+* @param x - input value
+* @param lambda - shape parameter
+* @returns evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 0.5 );
+* // returns ~-0.2525
+*
+* y = logcdf( 2.0, 1.5 );
+* // returns ~-0.0112
+*
+* var mylogcdf = logcdf.factory( 1.5 );
+* y = mylogcdf( 3.0 );
+* // returns ~-0.0025
+*
+* y = mylogcdf( 1.0 );
+* // returns ~-0.0511
+*/
+declare var logCDF: LogCDF;
+
+
+// EXPORTS //
+
+export = logCDF;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/types/test.ts
new file mode 100644
index 000000000000..6400f0332567
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/docs/types/test.ts
@@ -0,0 +1,98 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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( 2.0, 0.4 ); // $ExpectType number
+ logcdf( 1.0, 0.2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided values other than two numbers...
+{
+ logcdf( true, 0.3 ); // $ExpectError
+ logcdf( false, 0.2 ); // $ExpectError
+ logcdf( '5', 0.1 ); // $ExpectError
+ logcdf( [], 0.1 ); // $ExpectError
+ logcdf( {}, 0.4 ); // $ExpectError
+ logcdf( ( x: number ): number => x, 0.2 ); // $ExpectError
+
+ logcdf( 9.0, true ); // $ExpectError
+ logcdf( 9.0, false ); // $ExpectError
+ logcdf( 5.0, '5' ); // $ExpectError
+ logcdf( 8.0, [] ); // $ExpectError
+ logcdf( 9.0, {} ); // $ExpectError
+ logcdf( 8.0, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ logcdf(); // $ExpectError
+ logcdf( 2.0 ); // $ExpectError
+ logcdf( 2.0, 0.8, 4.0 ); // $ExpectError
+}
+
+// Attached to main export is a `factory` method which returns a function...
+{
+ logcdf.factory( 0.4 ); // $ExpectType Unary
+}
+
+// The `factory` method returns a function which returns a number...
+{
+ const fcn = logcdf.factory( 0.4 );
+ fcn( 2.0 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an invalid argument...
+{
+ const fcn = logcdf.factory( 0.4 );
+ 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( 0.4 );
+ fcn(); // $ExpectError
+ fcn( 2.0, 0.0 ); // $ExpectError
+ fcn( 2.0, 0.0, 1.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided a value other than a number...
+{
+ logcdf.factory( true ); // $ExpectError
+ logcdf.factory( false ); // $ExpectError
+ logcdf.factory( '5' ); // $ExpectError
+ logcdf.factory( [] ); // $ExpectError
+ logcdf.factory( {} ); // $ExpectError
+ logcdf.factory( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
+{
+ logcdf.factory( 0.0, 0.2 ); // $ExpectError
+ logcdf.factory( 0.0, 0.4, 8 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/examples/index.js
new file mode 100644
index 000000000000..713087928bc0
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/examples/index.js
@@ -0,0 +1,33 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 logcdf = require( './../lib' );
+
+var x = discreteUniform( 10, 0, 5 );
+var lambda = uniform( 10, 0.1, 5.0 );
+
+var y;
+var i;
+for ( i = 0; i < lambda.length; i++ ) {
+ y = logcdf( x[ i ], lambda[ i ] );
+ console.log( 'x: %d, λ: %d, F(x;λ): %d', x[ i ].toFixed( 4 ), lambda[ i ].toFixed( 4 ), y.toFixed( 4 ) );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/factory.js
new file mode 100644
index 000000000000..75ebf64cebd9
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/factory.js
@@ -0,0 +1,82 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 constantFunction = require( '@stdlib/utils/constant-function' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var expm1 = require( '@stdlib/math/base/special/expm1' );
+var ln = require( '@stdlib/math/base/special/ln' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+
+
+// MAIN //
+
+/**
+* Returns a function for evaluating the logarithm of the cumulative distribution function (CDF) for a Planck distribution with shape parameter `lambda`.
+*
+* @param {PositiveNumber} lambda - shape parameter
+* @returns {Function} logCDF
+*
+* @example
+* var logcdf = factory( 1.5 );
+* var y = logcdf( 3.0 );
+* // returns ~-0.0025
+*
+* y = logcdf( 1.0 );
+* // returns ~-0.0511
+*/
+function factory( lambda ) {
+ if ( isnan( lambda ) || lambda <= 0.0 ) {
+ return constantFunction( NaN );
+ }
+ return logcdf;
+
+ /**
+ * Evaluates the logarithm of the cumulative distribution function (CDF) for a Planck distribution.
+ *
+ * @private
+ * @param {number} x - input value
+ * @returns {number} evaluated logCDF
+ *
+ * @example
+ * var y = logcdf( 2.0 );
+ * // returns
+ */
+ function logcdf( x ) {
+ if ( isnan( x ) ) {
+ return NaN;
+ }
+ if ( x < 0.0 ) {
+ return NINF;
+ }
+ if ( x === PINF ) {
+ return 0.0;
+ }
+ return ln( -expm1( -lambda * ( floor(x)+1.0 ) ) );
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = factory;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/index.js
new file mode 100644
index 000000000000..9e9109875fe8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/index.js
@@ -0,0 +1,57 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 logarithm of cumulative distribution function (CDF) for a Planck distribution with shape parameter `lambda`.
+*
+* @module @stdlib/stats/base/dists/planck/logcdf
+*
+* @example
+* var logcdf = require( '@stdlib/stats/base/dists/planck/logcdf' );
+*
+* var y = logcdf( 2.0, 0.5 );
+* // returns ~-0.2525
+*
+* y = logcdf( 2.0, 1.5 );
+* // returns ~-0.0112
+*
+* var mylogcdf = logcdf.factory( 1.5 );
+* y = mylogcdf( 3.0 );
+* // returns ~-0.0025
+*
+* y = mylogcdf( 1.0 );
+* // returns ~-0.0511
+*/
+
+// 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/planck/logcdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/main.js
new file mode 100644
index 000000000000..4b3c976d2272
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/lib/main.js
@@ -0,0 +1,81 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 isnan = require( '@stdlib/math/base/assert/is-nan' );
+var floor = require( '@stdlib/math/base/special/floor' );
+var expm1 = require( '@stdlib/math/base/special/expm1' );
+var ln = require( '@stdlib/math/base/special/ln' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+
+
+// MAIN //
+
+/**
+* Evaluates the logarithm of the cumulative distribution function (CDF) for a Planck distribution with shape parameter `lambda` at a value `x`.
+*
+* @param {number} x - input value
+* @param {PositiveNumber} lambda - shape parameter
+* @returns {number} evaluated logCDF
+*
+* @example
+* var y = logcdf( 2.0, 0.5 );
+* // returns ~-0.2525
+*
+* @example
+* var y = logcdf( 2.0, 1.5 );
+* // returns ~-0.0112
+*
+* @example
+* var y = logcdf( -1.0, 0.5 );
+* // returns -Infinity
+*
+* @example
+* var y = logcdf( NaN, 0.5 );
+* // returns NaN
+*
+* @example
+* var y = logcdf( 0.0, NaN );
+* // returns NaN
+*
+* @example
+* // Invalid shape parameter
+* var y = logcdf( 2.0, -1.4 );
+* // returns NaN
+*/
+function logcdf( x, lambda ) {
+ if ( isnan( x ) || isnan( lambda ) || lambda <= 0.0 ) {
+ return NaN;
+ }
+ if ( x < 0.0 ) {
+ return NINF;
+ }
+ if ( x === PINF ) {
+ return 0.0;
+ }
+ return ln( -expm1( -lambda * ( floor(x)+1.0 ) ) );
+}
+
+
+// EXPORTS //
+
+module.exports = logcdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/package.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/package.json
new file mode 100644
index 000000000000..5e7503a4b327
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/package.json
@@ -0,0 +1,70 @@
+{
+ "name": "@stdlib/stats/base/dists/planck/logcdf",
+ "version": "0.0.0",
+ "description": "Evaluate the logarithm of cumulative distribution function (CDF) for a Planck (discrete exponential) distribution.",
+ "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",
+ "cdf",
+ "cumulative distribution",
+ "distribution function",
+ "memoryless",
+ "life-time",
+ "discrete",
+ "logarithm",
+ "log",
+ "planck",
+ "univariate"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/large_lambda.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/large_lambda.json
new file mode 100644
index 000000000000..e9eee202e27f
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/large_lambda.json
@@ -0,0 +1 @@
+{"x": [5.0, 9.0, 5.0, 7.0, 3.0, 6.0, 7.0, 1.0, 3.0, 4.0, 8.0, 7.0, 9.0, 10.0, 6.0, 5.0, 2.0, 9.0, 1.0, 5.0, 9.0, 5.0, 6.0, 4.0, 5.0, 9.0, 7.0, 8.0, 4.0, 4.0, 5.0, 2.0, 3.0, 1.0, 4.0, 6.0, 7.0, 7.0, 4.0, 7.0, 0.0, 1.0, 1.0, 3.0, 6.0, 7.0, 7.0, 2.0, 8.0, 1.0, 9.0, 9.0, 6.0, 5.0, 7.0, 4.0, 9.0, 9.0, 3.0, 4.0, 5.0, 4.0, 9.0, 10.0, 8.0, 3.0, 2.0, 7.0, 7.0, 2.0, 6.0, 10.0, 3.0, 1.0, 7.0, 1.0, 8.0, 2.0, 4.0, 3.0, 5.0, 1.0, 2.0, 5.0, 9.0, 8.0, 2.0, 2.0, 3.0, 4.0, 6.0, 9.0, 4.0, 4.0, 3.0, 3.0, 0.0, 0.0, 4.0, 4.0, 8.0, 4.0, 7.0, 4.0, 5.0, 3.0, 9.0, 6.0, 9.0, 7.0, 5.0, 1.0, 7.0, 1.0, 10.0, 8.0, 8.0, 0.0, 5.0, 3.0, 8.0, 4.0, 2.0, 1.0, 3.0, 2.0, 7.0, 1.0, 6.0, 8.0, 6.0, 1.0, 4.0, 9.0, 3.0, 1.0, 1.0, 1.0, 9.0, 9.0, 3.0, 6.0, 1.0, 4.0, 5.0, 4.0, 1.0, 6.0, 9.0, 5.0, 2.0, 8.0, 0.0, 6.0, 4.0, 4.0, 5.0, 4.0, 9.0, 10.0, 6.0, 2.0, 3.0, 3.0, 2.0, 6.0, 0.0, 8.0, 3.0, 1.0, 2.0, 7.0, 6.0, 5.0, 3.0, 1.0, 8.0, 7.0, 7.0, 8.0, 4.0, 4.0, 5.0, 5.0, 6.0, 6.0, 4.0, 7.0, 5.0, 3.0, 6.0, 8.0, 5.0, 3.0, 8.0, 2.0, 5.0, 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0.0, 0.0, 0.0, 0.0, -2.6534330288541595e-14, 0.0, 0.0, 0.0, -5.654471337201914e-10, 0.0, 0.0, 0.0, -6.668721131087056e-11, 0.0, 0.0, 0.0, -6.217248937900896e-15, -6.439293542826115e-14, -8.972029789805798e-10, 0.0, 0.0, 0.0, 0.0, -4.365285910533181e-12, 0.0, 0.0, 0.0, -4.551914400963152e-15, 0.0, 0.0, 0.0, -2.6645352591004114e-14, 0.0, -1.424366424005794e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.887379141862768e-15, 0.0, -2.351095246149534e-08, 0.0, 0.0, -1.3722356584367876e-13, 0.0, 0.0, 0.0, 0.0, 0.0, -2.2204460492503136e-16, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -4.773959005888184e-15, 0.0, 0.0, -4.440892098500627e-16, -2.708539939830755e-05, 0.0, 0.0, -1.1102230246251565e-16, 0.0, 0.0, 0.0, -5.506706202140928e-14, -1.9984014443252837e-15, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -3.061057190190014e-09, 0.0, 0.0, -6.8663963404227795e-12, 0.0, 0.0, 0.0, 0.0, -1.7483769988864883e-10, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 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0.0, -1.743050148661511e-14, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -3.009714699731875e-11, 0.0, 0.0, 0.0, 0.0, -3.807807403447544e-10, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.1546319456101694e-14, -1.8973711490845725e-13, 0.0, 0.0, 0.0, 0.0, -1.2101430968414279e-14, 0.0, -9.124484987016757e-09, 0.0, -8.881784197001256e-16, 0.0, -5.158347303639386e-06, -2.2370993946199406e-13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.333644306109616e-11, 0.0, 0.0, -3.3959265522646206e-05, 0.0, -1.5543122344752203e-15, 0.0, 0.0, 0.0, -2.294813228595113e-10, 0.0, 0.0, -1.1102230246251565e-16, 0.0, -4.4700312450098687e-07, 0.0, 0.0, 0.0, 0.0, -1.1102230246251565e-16, 0.0, 0.0, 0.0, 0.0, -7.89240254045801e-09, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.1102230246251565e-16, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.0162315433655544e-11, 0.0, 0.0, 0.0, -9.637174234491813e-08, 0.0, 0.0, -2.6534330288541595e-14, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.897682094271701e-14, 0.0, 0.0, -2.788880237858782e-13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.6369461342114676e-11, -4.8183679268732955e-14, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -3.33066907387547e-16, -2.1350538676239774e-08, 0.0, 0.0, -3.6859404417561993e-13, 0.0, 0.0, -1.4355905784308952e-07, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -6.754152792632412e-12, 0.0, 0.0, -1.0014211682119413e-13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.9503398896082778e-11, -1.7826062849647498e-10, 0.0, 0.0, -9.816586170597889e-08, -1.3100631690576932e-14, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -4.304865048984302e-06, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -5.551115123125785e-16, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -4.55846471681882e-12, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.5535129566378925e-14, 0.0, 0.0, -2.2204460492503136e-16, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.2204460492503136e-16, 0.0, 0.0, 0.0, 0.0, 0.0, -7.271960811295039e-14, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -2.4012841944698326e-07, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -4.661971917264865e-08, -1.1102230246251565e-16, 0.0, 0.0, 0.0, 0.0, -7.467040322185545e-10, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.1819613073051543e-09, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -5.77871084317561e-13, 0.0, 0.0, 0.0, -5.455591534235852e-11, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.9695356456852216e-13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.4839098161211176e-06, 0.0, 0.0, 0.0, 0.0, -2.467627112903632e-07, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -4.546873988534714e-11, 0.0, -8.422151864809984e-13, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 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0.0, 0.0, 0.0, 0.0, 0.0, -1.98729921407905e-14, 0.0, 0.0]}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/runner.py b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/runner.py
new file mode 100644
index 000000000000..1e511339558c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/runner.py
@@ -0,0 +1,87 @@
+#!/usr/bin/env python
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2025 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.
+
+"""Generate fixtures."""
+
+import os
+import json
+import numpy as np
+from scipy.stats import planck
+
+# Get the file path:
+FILE = os.path.realpath(__file__)
+
+# Extract the directory in which this file resides:
+DIR = os.path.dirname(FILE)
+
+
+def gen(x, lam, name):
+ """
+ Generate fixture data and write to file.
+
+ # Arguments
+
+ * `x`: input values.
+ * `lam`: shape parameter.
+ * `name::str`: output filename.
+
+ # Examples
+
+ ```python
+ python> x = np.random.rand(1000) * 10
+ python> lam = np.random.rand(1000)
+ python> gen(x, lam, "data.json")
+ ```
+ """
+ # Compute CDF values:
+ z = np.array(planck.logcdf(x, lam))
+
+ # Store data to be written to file as a dictionary:
+ data = {
+ "x": x.tolist(),
+ "lambda": lam.tolist(),
+ "expected": z.tolist()
+ }
+
+ # Based on the script directory, create an output filepath:
+ filepath = os.path.join(DIR, name)
+
+ # Write the data to the output filepath as JSON:
+ with open(filepath, "w", encoding='utf-8') as outfile:
+ json.dump(data, outfile)
+
+ # Include trailing newline:
+ with open(filepath, "a", encoding='utf-8') as outfile:
+ outfile.write("\n")
+
+
+def main():
+ """Generate fixture data."""
+ # Large shape parameter:
+ x = np.round(np.random.rand(1000) * 10.0)
+ lam = (np.random.rand(1000) * 10.0) + 10.0
+ gen(x, lam, "large_lambda.json")
+
+ # Small shape parameter:
+ x = np.round(np.random.rand(1000) * 10.0)
+ lam = np.random.rand(1000) * 0.5
+ gen(x, lam, "small_lambda.json")
+
+
+if __name__ == "__main__":
+ main()
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/small_lambda.json b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/small_lambda.json
new file mode 100644
index 000000000000..7d71196067f8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/fixtures/python/small_lambda.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.factory.js
new file mode 100644
index 000000000000..441fef2169b3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.factory.js
@@ -0,0 +1,172 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 smallLambda = require( './fixtures/python/small_lambda.json' );
+var largeLambda = require( './fixtures/python/large_lambda.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( 0.5 );
+ t.equal( typeof logcdf, 'function', 'returns a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the returned function returns `NaN`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 0.5 );
+ y = logcdf( NaN );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( NaN );
+ y = logcdf( 0.0 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a valid `lambda`, the function returns a function which returns `0` when provided `+infinity` for `x`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 0.5 );
+ y = logcdf( PINF );
+ t.equal( y, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a valid `lambda`, the function returns a function which returns `-Infinity` when provided a negative number for `x`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 0.5 );
+ y = logcdf( NINF );
+ t.equal( y, NINF, 'returns expected value' );
+
+ y = logcdf( -20.0 );
+ t.equal( y, NINF, 'returns expected value' );
+
+ y = logcdf( -2.0 );
+ t.equal( y, NINF, 'returns expected value' );
+ y = logcdf( -0.5 );
+ t.equal( y, NINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a shape parameter `lambda` which is nonpositive, the returned function always returns `NaN`', function test( t ) {
+ var logcdf;
+ var y;
+
+ logcdf = factory( 0.0 );
+
+ y = logcdf( 2.0 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 0.0 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ logcdf = factory( -1.5 );
+
+ y = logcdf( 2.0 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 0.0 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the returned function evaluates the logcdf for `x` given small parameter `lambda`', function test( t ) {
+ var expected;
+ var logcdf;
+ var lambda;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+
+ expected = smallLambda.expected;
+ x = smallLambda.x;
+ lambda = smallLambda.lambda;
+ for ( i = 0; i < x.length; i++ ) {
+ logcdf = factory( lambda[ i ] );
+ y = logcdf( x[ i ] );
+ if ( y === expected[ i ] ) {
+ t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ 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 ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the returned function evaluates the logcdf for `x` given small parameter `lambda`', function test( t ) {
+ var expected;
+ var logcdf;
+ var lambda;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+
+ expected = largeLambda.expected;
+ x = largeLambda.x;
+ lambda = largeLambda.lambda;
+ for ( i = 0; i < x.length; i++ ) {
+ logcdf = factory( lambda[ i ] );
+ y = logcdf( x[ i ] );
+ if ( y === expected[ i ] ) {
+ t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ 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 ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.js
new file mode 100644
index 000000000000..fe65bdf1a764
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.js
@@ -0,0 +1,38 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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.equal( typeof logcdf.factory, 'function', 'exports a factory method' );
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.logcdf.js b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.logcdf.js
new file mode 100644
index 000000000000..4a3770dde3a6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/planck/logcdf/test/test.logcdf.js
@@ -0,0 +1,133 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 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 smallLambda = require( './fixtures/python/small_lambda.json' );
+var largeLambda = require( './fixtures/python/large_lambda.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, 0.5 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+ y = logcdf( 4.0, NaN );
+ t.equal( isnan( y ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a valid `lambda`, the function returns `0`', function test( t ) {
+ var y = logcdf( PINF, 0.5 );
+ t.equal( y, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a negative number for `x` and a valid `lambda`, the function returns `-Infinity`', function test( t ) {
+ var y = logcdf( NINF, 0.5 );
+ t.equal( y, NINF, 'returns expected value' );
+
+ y = logcdf( -4.0, 0.5 );
+ t.equal( y, NINF, 'returns expected value' );
+
+ y = logcdf( -0.5, 0.5 );
+ t.equal( y, NINF, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a value shape parameter `lambda` which nonpositive, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = logcdf( 3.0, 0.0 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ y = logcdf( 3.0, -1.5 );
+ t.equal( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given small parameter `lambda`', function test( t ) {
+ var expected;
+ var lambda;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+
+ expected = smallLambda.expected;
+ x = smallLambda.x;
+ lambda = smallLambda.lambda;
+ for ( i = 0; i < x.length; i++ ) {
+ y = logcdf( x[ i ], lambda[ i ] );
+ if ( y === expected[ i ] ) {
+ t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ 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 ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the logcdf for `x` given large parameter `lambda`', function test( t ) {
+ var expected;
+ var lambda;
+ var delta;
+ var tol;
+ var x;
+ var y;
+ var i;
+
+ expected = largeLambda.expected;
+ x = largeLambda.x;
+ lambda = largeLambda.lambda;
+ for ( i = 0; i < x.length; i++ ) {
+ y = logcdf( x[ i ], lambda[ i ] );
+ if ( y === expected[ i ] ) {
+ t.equal( y, expected[ i ], 'x: '+x[ i ]+', lambda: '+lambda[ 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 ]+'. lambda: '+lambda[ i ]+'. y: '+y+'. E: '+expected[ i ]+'. Δ: '+delta+'. tol: '+tol+'.' );
+ }
+ }
+ t.end();
+});