## @stdlib/stats-base-dists-frechet-logcdf 0.1.0 • Public • Published

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# Logarithm of Cumulative Distribution Function

Fréchet distribution logarithm of cumulative distribution function.

The cumulative distribution function for a Fréchet random variable is

where alpha > 0 is the shape, s > 0 the scale, and m the location parameter.

## Installation

npm install @stdlib/stats-base-dists-frechet-logcdf

## Usage

var logcdf = require( '@stdlib/stats-base-dists-frechet-logcdf' );

#### logcdf( x, alpha, s, m )

Evaluates the natural logarithm of the cumulative distribution function (CDF) for a Fréchet distribution with shape alpha, scale s, and location m at a value x.

var y = logcdf( 10.0, 2.0, 3.0, 5.0 );
// returns ~-0.36

y = logcdf( -3.4, 1.0, 2.0, -4.0 );
// returns ~-3.333

y = logcdf( 0.0, 2.0, 1.0, -1.0 );
// returns -1.0

If provided x <= m, the function returns -Infinity.

y = logcdf( -2.0, 2.0, 1.0, -1.0 );
// returns -Infinity

If provided NaN as any argument, the function returns NaN.

var y = logcdf( NaN, 1.0, 1.0, 0.0 );
// returns NaN

y = logcdf( 0.0, NaN, 1.0, 0.0 );
// returns NaN

y = logcdf( 0.0, 1.0, NaN, 0.0);
// returns NaN

y = logcdf( 0.0, 1.0, 1.0, NaN );
// returns NaN

If provided alpha <= 0, the function returns NaN.

var y = logcdf( 2.0, -0.1, 1.0, 1.0 );
// returns NaN

y = logcdf( 2.0, 0.0, 1.0, 1.0 );
// returns NaN

If provided s <= 0, the function returns NaN.

var y = logcdf( 2.0, 1.0, -1.0, 1.0 );
// returns NaN

y = logcdf( 2.0, 1.0, 0.0, 1.0 );
// returns NaN

#### logcdf.factory( alpha, s, m )

Returns a function for evaluating the natural logarithm of the cumulative distribution function of a Fréchet distribution with shape alpha, scale s, and location m.

var mylogcdf = logcdf.factory( 3.0, 3.0, 5.0 );

var y = mylogcdf( 10.0 );
// returns ~-0.216

y = mylogcdf( 7.0 );
// returns ~-3.375

## Notes

• In virtually all cases, using the logpdf or logcdf functions is preferable to manually computing the logarithm of the pdf or cdf, respectively, since the latter is prone to overflow and underflow.

## Examples

var randu = require( '@stdlib/random-base-randu' );
var logcdf = require( '@stdlib/stats-base-dists-frechet-logcdf' );

var alpha;
var m;
var s;
var x;
var y;
var i;

for ( i = 0; i < 100; i++ ) {
alpha = randu() * 10.0;
x = randu() * 10.0;
s = randu() * 10.0;
m = randu() * 10.0;
y = logcdf( x, alpha, s, m );
console.log( 'x: %d, α: %d, s: %d, m: %d, ln(F(x;α,s,m)): %d', x.toFixed( 4 ), alpha.toFixed( 4 ), s.toFixed( 4 ), m.toFixed( 4 ), y.toFixed( 4 ) );
}

## Notice

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.

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