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README.md |
Probability Density Function
Inverse gamma distribution probability density function (PDF).
The probability density function (PDF) for an inverse gamma random variable is
where alpha > 0
is the shape parameter and beta > 0
is the scale parameter.
Usage
var pdf = require( '@stdlib/stats/base/dists/invgamma/pdf' );
pdf( x, alpha, beta )
Evaluates the probability density function (PDF) for an inverse gamma distribution with parameters alpha
(shape parameter) and beta
(rate parameter).
var y = pdf( 2.0, 0.5, 1.0 );
// returns ~0.121
y = pdf( 0.2, 1.0, 1.0 );
// returns ~0.168
y = pdf( -1.0, 4.0, 2.0 );
// returns 0.0
If provided NaN
as any argument, the function returns NaN
.
var y = pdf( NaN, 1.0, 1.0 );
// returns NaN
y = pdf( 0.0, NaN, 1.0 );
// returns NaN
y = pdf( 0.0, 1.0, NaN );
// returns NaN
If provided alpha <= 0
, the function returns NaN
.
var y = pdf( 2.0, 0.0, 1.0 );
// returns NaN
y = pdf( 2.0, -0.5, 1.0 );
// returns NaN
If provided beta <= 0
, the function returns NaN
.
var y = pdf( 2.0, 1.0, 0.0 );
// returns NaN
y = pdf( 2.0, 1.0, -1.0 );
// returns NaN
pdf.factory( alpha, beta )
Returns a function
for evaluating the PDF of an inverse gamma distribution with parameters alpha
(shape parameter) and beta
(rate parameter).
var myPDF = pdf.factory( 6.0, 7.0 );
var y = myPDF( 2.0 );
// returns ~0.231
Examples
var randu = require( '@stdlib/random/base/randu' );
var pdf = require( '@stdlib/stats/base/dists/invgamma/pdf' );
var alpha;
var beta;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
x = randu() * 2.0;
alpha = randu() * 5.0;
beta = randu() * 5.0;
y = pdf( x, alpha, beta );
console.log( 'x: %d, α: %d, β: %d, f(x;α,β): %d', x.toFixed( 4 ), alpha.toFixed( 4 ), beta.toFixed( 4 ), y.toFixed( 4 ) );
}