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.. | ||
cdf | ||
ctor | ||
docs/types | ||
entropy | ||
kurtosis | ||
lib | ||
logpdf | ||
mean | ||
mode | ||
quantile | ||
skewness | ||
stdev | ||
variance | ||
package.json | ||
README.md |
Inverse Gamma
Inverse gamma distribution.
Usage
var invgamma = require( '@stdlib/stats/base/dists/invgamma' );
invgamma
Inverse gamma distribution.
var dist = invgamma;
// returns {...}
The namespace contains the following distribution functions:
cdf( x, alpha, beta )
: inverse Gamma distribution cumulative distribution function.logpdf( x, alpha, beta )
: evaluate the natural logarithm of the probability density function (PDF) for an inverse gamma distribution.pdf( x, alpha, beta )
: inverse gamma distribution probability density function (PDF).quantile( p, alpha, beta )
: inverse gamma distribution quantile function.
The namespace contains the following functions for calculating distribution properties:
entropy( alpha, beta )
: inverse gamma distribution differential entropy.kurtosis( alpha, beta )
: inverse gamma distribution excess kurtosis.mean( alpha, beta )
: inverse gamma distribution expected value.mode( alpha, beta )
: inverse gamma distribution mode.skewness( alpha, beta )
: inverse gamma distribution skewness.stdev( alpha, beta )
: inverse gamma distribution standard deviation.variance( alpha, beta )
: inverse gamma distribution variance.
The namespace contains a constructor function for creating a inverse gamma distribution object.
InvGamma( [alpha, beta] )
: inverse gamma distribution constructor.
var InvGamma = require( '@stdlib/stats/base/dists/invgamma' ).InvGamma;
var dist = new InvGamma( 2.0, 4.0 );
var y = dist.cdf( 0.5 );
// returns ~0.003
Examples
var objectKeys = require( '@stdlib/utils/keys' );
var invgamma = require( '@stdlib/stats/base/dists/invgamma' );
console.log( objectKeys( invgamma ) );