@stdlib/assert-is-probability

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isProbability

Test if a value is a probability.

A probability is defined as a numeric value on the interval [0,1].

Installation

npm install @stdlib/assert-is-probability

Usage

var isProbability = require( '@stdlib/assert-is-probability' );

isProbability( value )

Tests if a value is a probability.

var Number = require( '@stdlib/number-ctor' );

var bool = isProbability( 0.5 );
// returns true

bool = isProbability( new Number( 0.5 ) );
// returns true

bool = isProbability( 3.14 );
// returns false

bool = isProbability( -5.0 );
// returns false

bool = isProbability( NaN );
// returns false

bool = isProbability( null );
// returns false

isProbability.isPrimitive( value )

Tests if a value is a primitive probability.

var Number = require( '@stdlib/number-ctor' );

var bool = isProbability.isPrimitive( 0.33 );
// returns true

bool = isProbability.isPrimitive( new Number( 0.33 ) );
// returns false

isProbability.isObject( value )

Tests if a value is a Number object having a value which is a probability.

var Number = require( '@stdlib/number-ctor' );

var bool = isProbability.isObject( 0.11 );
// returns false

bool = isProbability.isObject( new Number( 0.11 ) );
// returns true

Examples

var Number = require( '@stdlib/number-ctor' );
var isProbability = require( '@stdlib/assert-is-probability' );

var bool = isProbability( 0.5 );
// returns true

bool = isProbability( new Number( 0.5 ) );
// returns true

bool = isProbability( 0.0 );
// returns true

bool = isProbability( 1.0 );
// returns true

bool = isProbability( 3.14 );
// returns false

bool = isProbability( -5.0 );
// returns false

bool = isProbability( NaN );
// returns false

bool = isProbability( '0.5' );
// returns false

bool = isProbability( null );
// returns false

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See Also

• @stdlib/assert-is-number: test if a value is a number.

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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.

Community

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License

See LICENSE.

Copyright

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