Gamma distribution constructor.
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Gamma distribution constructor.
bash
npm install @stdlib/stats-base-dists-gamma-ctorscript tag without installation and bundlers, use the [ES Module][es-module] available on the [esm][esm-url] branch (see [README][esm-readme]).deno][deno-url] branch (see [README][deno-readme] for usage intructions).umd][umd-url] branch (see [README][umd-readme]).javascript
var Gamma = require( '@stdlib/stats-base-dists-gamma-ctor' );javascript
var gamma = new Gamma();
var mode = gamma.mode;
// returns 0.0alpha = 1.0 and beta = 1.0. To create a distribution having a different alpha (shape parameter) and beta (rate parameter), provide the corresponding arguments.javascript
var gamma = new Gamma( 2.0, 4.0 );
var mu = gamma.mean;
// returns 0.5alpha must be a positive number.javascript
var gamma = new Gamma();
var alpha = gamma.alpha;
// returns 1.0
gamma.alpha = 3.0;
alpha = gamma.alpha;
// returns 3.0beta must be a positive number.javascript
var gamma = new Gamma( 2.0, 4.0 );
var b = gamma.beta;
// returns 4.0
gamma.beta = 3.0;
b = gamma.beta;
// returns 3.0
javascript
var gamma = new Gamma( 4.0, 12.0 );
var entropy = gamma.entropy;
// returns ~-0.462javascript
var gamma = new Gamma( 4.0, 12.0 );
var kurtosis = gamma.kurtosis;
// returns 1.5javascript
var gamma = new Gamma( 4.0, 12.0 );
var mu = gamma.mean;
// returns ~0.333javascript
var gamma = new Gamma( 4.0, 12.0 );
var mode = gamma.mode;
// returns 0.25javascript
var gamma = new Gamma( 4.0, 12.0 );
var skewness = gamma.skewness;
// returns 1.0javascript
var gamma = new Gamma( 4.0, 12.0 );
var s = gamma.stdev;
// returns ~0.167javascript
var gamma = new Gamma( 4.0, 12.0 );
var s2 = gamma.variance;
// returns ~0.028javascript
var gamma = new Gamma( 2.0, 4.0 );
var y = gamma.cdf( 0.5 );
// returns ~0.594javascript
var gamma = new Gamma( 2.0, 4.0 );
var y = gamma.logcdf( 0.5 );
// returns ~-0.521javascript
var gamma = new Gamma( 2.0, 4.0 );
var y = gamma.logpdf( 0.8 );
// returns ~-0.651javascript
var gamma = new Gamma( 2.0, 4.0 );
var y = gamma.mgf( 0.5 );
// returns ~1.306javascript
var gamma = new Gamma( 2.0, 4.0 );
var y = gamma.pdf( 0.8 );
// returns ~0.522p.javascript
var gamma = new Gamma( 2.0, 4.0 );
var y = gamma.quantile( 0.5 );
// returns ~0.42
y = gamma.quantile( 1.9 );
// returns NaNjavascript
var Gamma = require( '@stdlib/stats-base-dists-gamma-ctor' );
var gamma = new Gamma( 2.0, 4.0 );
var mu = gamma.mean;
// returns 0.5
var mode = gamma.mode;
// returns 0.25
var s2 = gamma.variance;
// returns 0.125
var y = gamma.cdf( 0.8 );
// returns ~0.829
