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Author: kgryte

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/README.md

@@ -20,13 +20,13 @@ limitations under the License.
 
 # Entropy
 
-> Planck (discrete exponential) distribution [entropy][entropy].
+> Planck (discrete exponential) distribution [differential entropy][entropy].
 
 <!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->
 
 <section class="intro">
 
-The [entropy][entropy] (in [nats][nats]) for a Planck random variable is
+The [differential entropy][entropy] (in [nats][nats]) for a Planck random variable is
 
 <!-- <equation class="equation" label="eq:planck_entropy" align="center" raw="H\left( X \right) = \frac{\lambda e^{-\lambda}}{1 - e^{-\lambda}} - \log\left( 1 - e^{-\lambda} \right)" alt="Differential entropy for a Planck distribution."> -->
 
@@ -54,7 +54,7 @@ var entropy = require( '@stdlib/stats/base/dists/planck/entropy' );
 
 #### entropy( lambda )
 
-Returns the [entropy][entropy] of a Planck distribution with shape parameter `lambda` (in [nats][nats]).
+Returns the [differential entropy][entropy] of a Planck distribution with shape parameter `lambda` (in [nats][nats]).
 
 ```javascript
 var v = entropy( 0.1 );

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/docs/repl.txt

@@ -1,7 +1,7 @@
 
 {{alias}}( λ )
-    Returns the entropy of a Planck distribution with shape parameter `λ`
-    (in nats).
+    Returns the differential entropy of a Planck distribution with shape
+    parameter `λ` (in nats).
 
     If `λ <= 0`, the function returns `NaN`.
 
@@ -13,7 +13,7 @@
     Returns
     -------
     out: number
-        Entropy.
+        Differential entropy.
 
     Examples
     --------

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/docs/types/index.d.ts

@@ -19,14 +19,14 @@
 // TypeScript Version: 4.1
 
 /**
-* Returns the entropy of a Planck distribution.
+* Returns the differential entropy of a Planck distribution.
 *
 * ## Notes
 *
 * -   If `lambda <= 0`, the function returns `NaN`.
 *
 * @param lambda - shape parameter
-* @returns entropy
+* @returns differential entropy
 *
 * @example
 * var v = entropy( 0.1 );

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/lib/index.js

@@ -19,7 +19,7 @@
 'use strict';
 
 /**
-* Planck distribution entropy.
+* Planck distribution differential entropy.
 *
 * @module @stdlib/stats/base/dists/planck/entropy
 *

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/lib/main.js

@@ -29,10 +29,10 @@ var ln = require( '@stdlib/math/base/special/ln' );
 // MAIN //
 
 /**
-* Returns the entropy of a Planck distribution.
+* Returns the differential entropy of a Planck distribution.
 *
 * @param {PositiveNumber} lambda - shape parameter
-* @returns {PositiveNumber} entropy
+* @returns {PositiveNumber} differential entropy
 *
 * @example
 * var v = entropy( 0.1 );

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/package.json

@@ -1,7 +1,7 @@
 {
   "name": "@stdlib/stats/base/dists/planck/entropy",
   "version": "0.0.0",
-  "description": "Planck (discrete exponential) distribution entropy.",
+  "description": "Planck (discrete exponential) distribution differential entropy.",
   "license": "Apache-2.0",
   "author": {
     "name": "The Stdlib Authors",

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/test/fixtures/python/runner.py

@@ -42,7 +42,7 @@ def gen(lam, name):
     # Examples
 
     ```python
-    python> lam = np.random.rand(1000) * 20
+    python> lam = np.random.rand(1000) * 20.0
     python> gen(lam, "data.json")
     ```
     """

lib/node_modules/@stdlib/stats/base/dists/planck/entropy/test/test.js

@@ -46,7 +46,7 @@ tape( 'if provided `NaN` for `lambda`, the function returns `NaN`', function tes
 	t.end();
 });
 
-tape( 'if provided a success probability `lambda` which is nonpositive, the function returns `NaN`', function test( t ) {
+tape( 'if provided a shape parameter `lambda` which is nonpositive, the function returns `NaN`', function test( t ) {
 	var v;
 
 	v = entropy( 0.0 );