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Evaluate the natural logarithm of the probability density function (PDF) for a Student's t distribution.
The probability density function (PDF) for a t distribution random variable is
where v > 0
is the degrees of freedom.
npm install @stdlib/stats-base-dists-t-logpdf
var logpdf = require( '@stdlib/stats-base-dists-t-logpdf' );
Evaluates the natural logarithm of the probability density function (PDF) for a Student's t distribution with degrees of freedom v
.
var y = logpdf( 0.3, 4.0 );
// returns ~-1.036
y = logpdf( 2.0, 0.7 );
// returns ~-2.841
y = logpdf( -1.0, 0.5 );
// returns ~-2.134
If provided NaN
as any argument, the function returns NaN
.
var y = logpdf( NaN, 1.0 );
// returns NaN
y = logpdf( 0.0, NaN );
// returns NaN
If provided v <= 0
, the function returns NaN
.
var y = logpdf( 2.0, -1.0 );
// returns NaN
y = logpdf( 2.0, 0.0 );
// returns NaN
Returns a function
for evaluating the natural logarithm of the PDF of a Student's t distribution with degrees of freedom v
.
var mylogpdf = logpdf.factory( 1.0 );
var y = mylogpdf( 3.0 );
// returns ~-3.447
y = mylogpdf( 1.0 );
// returns ~-1.838
- In virtually all cases, using the
logpdf
orlogcdf
functions is preferable to manually computing the logarithm of thepdf
orcdf
, respectively, since the latter is prone to overflow and underflow.
var randu = require( '@stdlib/random-base-randu' );
var logpdf = require( '@stdlib/stats-base-dists-t-logpdf' );
var v;
var x;
var y;
var i;
for ( i = 0; i < 10; i++ ) {
x = (randu() * 6.0) - 3.0;
v = randu() * 10.0;
y = logpdf( x, v );
console.log( 'x: %d, v: %d, ln(f(x;v)): %d', x, v, y );
}
This package is part of stdlib, a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.
For more information on the project, filing bug reports and feature requests, and guidance on how to develop stdlib, see the main project repository.
See LICENSE.
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