@stdlib/stats
Version:
Standard library statistical functions.
88 lines (77 loc) • 2.03 kB
JavaScript
/**
* @license Apache-2.0
*
* Copyright (c) 2018 The Stdlib Authors.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
;
// MODULES //
var constantFunction = require( '@stdlib/utils/constant-function' );
var betainc = require( '@stdlib/math/base/special/betainc' );
var isnan = require( '@stdlib/math/base/assert/is-nan' );
var pow = require( '@stdlib/math/base/special/pow' );
// MAIN //
/**
* Returns a function for evaluating the cumulative distribution function (CDF) for a Student's t distribution with degrees of freedom `v`.
*
* @param {PositiveNumber} v - degrees of freedom
* @returns {Function} CDF
*
* @example
* var cdf = factory( 0.5 );
* var y = cdf( 3.0 );
* // returns ~0.816
*
* y = cdf( 1.0 );
* // returns ~0.699
*/
function factory( v ) {
if ( isnan( v ) || v <= 0.0 ) {
return constantFunction( NaN );
}
return cdf;
/**
* Evaluates the cumulative distribution function (CDF) for a Student's t distribution.
*
* @private
* @param {number} x - input value
* @returns {Probability} evaluated CDF
*
* @example
* var y = cdf( 2.0 );
* // returns <number>
*/
function cdf( x ) {
var x2;
var p;
var z;
if ( isnan( x ) ) {
return NaN;
}
if ( x === 0.0 ) {
return 0.5;
}
x2 = pow( x, 2.0 );
if ( v > 2.0*x2 ) {
z = x2 / ( v + x2 );
p = betainc( z, 0.5, v/2.0, true, true ) / 2.0;
} else {
z = v / ( v + x2 );
p = betainc( z, v/2.0, 0.5, true, false ) / 2.0;
}
return ( x > 0.0 ) ? 1.0 - p : p;
}
}
// EXPORTS //
module.exports = factory;