Package Exports
- @stdlib/stats-base-dists-invgamma-quantile
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Readme
Quantile Function
Inverse gamma distribution quantile function.
The quantile function for an inverse gamma random variable is
for 0 <= p < 1, where alpha > 0 is the shape parameter and beta > 0 is the scale parameter.
Installation
npm install @stdlib/stats-base-dists-invgamma-quantileUsage
var quantile = require( '@stdlib/stats-base-dists-invgamma-quantile' );quantile( p, alpha, beta )
Evaluates the quantile function for an inverse gamma distribution with parameters alpha (shape parameter) and beta (rate parameter).
var y = quantile( 0.8, 2.0, 1.0 );
// returns ~1.213
y = quantile( 0.5, 4.0, 2.0 );
// returns ~0.545If provided a probability p outside the interval [0,1], the function returns NaN.
var y = quantile( 1.9, 1.0, 1.0 );
// returns NaN
y = quantile( -0.1, 1.0, 1.0 );
// returns NaNIf provided NaN as any argument, the function returns NaN.
var y = quantile( NaN, 1.0, 1.0 );
// returns NaN
y = quantile( 0.0, NaN, 1.0 );
// returns NaN
y = quantile( 0.0, 1.0, NaN );
// returns NaNIf provided alpha <= 0, the function returns NaN.
var y = quantile( 0.4, -1.0, 1.0 );
// returns NaNIf provided beta <= 0, the function returns NaN.
var y = quantile( 0.4, 1.0, -1.0 );
// returns NaNquantile.factory( alpha, beta )
Returns a function for evaluating the quantile function of an inverse gamma distribution with parameters alpha (shape parameter) and beta (rate parameter).
var myquantile = quantile.factory( 2.0, 2.0 );
var y = myquantile( 0.8 );
// returns ~2.426
y = myquantile( 0.4 );
// returns ~0.989Examples
var randu = require( '@stdlib/random-base-randu' );
var quantile = require( '@stdlib/stats-base-dists-invgamma-quantile' );
var alpha;
var beta;
var p;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
p = randu();
alpha = randu() * 5.0;
beta = randu() * 5.0;
y = quantile( p, alpha, beta );
console.log( 'p: %d, α: %d, β: %d, Q(p;α,β): %d', p.toFixed( 4 ), alpha.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
}Notice
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License
See LICENSE.
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