@stdlib/math-base-special-kernel-betainc
v0.2.2
Published
Incomplete beta function and its first derivative.
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Kernel Betainc
Incomplete beta function and its first derivative.
Installation
npm install @stdlib/math-base-special-kernel-betainc
Usage
var kernelBetainc = require( '@stdlib/math-base-special-kernel-betainc' );
kernelBetainc( x, a, b, regularized, upper )
Evaluates the incomplete beta function and its first derivative for parameters x
, a > 0
and b > 0
. The regularized
and upper
boolean parameters are used to specify whether to evaluate the regularized or non-regularized and the upper or lower incomplete beta functions, respectively.
var out = kernelBetainc( 0.8, 1.0, 0.3, false, false );
// returns [ ~1.277, ~0.926 ]
out = kernelBetainc( 0.2, 1.0, 2.0, true, false );
// returns [ 0.36, 1.6 ]
out = kernelBetainc( 0.2, 1.0, 2.0, true, true );
// returns [ 0.64, 1.6 ]
If provided NaN
for x
, a
, or b
, the function returns [ NaN, NaN ]
.
var out = kernelBetainc( NaN, 1.0, 1.0, true, true );
// returns [ NaN, NaN ]
out = kernelBetainc( 0.8, NaN, 1.0, true, true );
// returns [ NaN, NaN ]
out = kernelBetainc( 0.8, 1.0, NaN, true, true );
// returns [ NaN, NaN ]
If x
is outside the interval [0,1]
, the function returns [ NaN, NaN ]
.
var out = kernelBetainc( 1.5, 1.0, 1.0, true, true );
// returns [ NaN, NaN ]
out = kernelBetainc( -0.5, 1.0, 1.0, true, true );
// returns [ NaN, NaN ]
If a
or b
is negative, the function returns [ NaN, NaN ]
.
var out = kernelBetainc( 0.5, -2.0, 2.0, true, true );
// returns [ NaN, NaN ]
out = kernelBetainc( 0.5, 2.0, -2.0, true, true );
// returns [ NaN, NaN ]
kernelBetainc.assign( x, a, b, regularized, upper, out, stride, offset )
Evaluates the incomplete beta function and its first derivative for parameters x
, a > 0
and b > 0
and assigns results to a provided output array.
var Float64Array = require( '@stdlib/array-float64' );
var out = new Float64Array( 2 );
var v = kernelBetainc.assign( 0.2, 1.0, 2.0, true, true, out, 1, 0 );
// returns <Float64Array>[ 0.64, 1.6 ]
var bool = ( v === out );
// returns true
The offset
parameter specifies the index of the first output array element, and the stride
parameter specifies the stride length between consecutive output array elements.
Examples
var randu = require( '@stdlib/random-base-randu' );
var kernelBetainc = require( '@stdlib/math-base-special-kernel-betainc' );
var out;
var i;
var x;
var a;
var b;
out = [ 0.0, 0.0 ];
for ( i = 0; i < 100; i++ ) {
x = randu();
a = randu() * 10.0;
b = randu() * 10.0;
kernelBetainc( x, a, b, true, false, out, 1, 0 );
console.log( 'x: %d, \t a: %d, \t b: %d, \t f(x,a,b): %d, \t f^1(x,a,b): %d', x.toFixed( 4 ), a.toFixed( 4 ), b.toFixed( 4 ), out[ 0 ].toFixed( 4 ), out[ 1 ].toFixed( 4 ) );
}
See Also
@stdlib/math-base/special/betainc
: incomplete beta function.
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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Copyright
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