stdlib-js/random-array-arcsine

Create an array containing arcsine distributed pseudorandom numbers.

JavaScript

Apache License 2.0

This package provides functions to generate arrays of pseudorandom numbers following an arcsine distribution, a probability distribution commonly used in statistics and simulation. It is designed for developers working on scientific computing, simulations, or statistical modeling in JavaScript, offering flexibility in array size, data type, and random number generation methods.

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Support the dependencies of stdlib-js/random-array-arcsine

stdlib-js/array-defaults

Default array settings.

stdlib-js/array-dtypes

List of array data types.

stdlib-js/random-array-tools-binary-factory

Create a factory function for generating pseudorandom values drawn from a binary PRNG.

stdlib-js/random-base-arcsine

Arcsine distributed pseudorandom numbers.

stdlib-js/types

stdlib TypeScript type declarations.

stdlib-js/utils-define-nonenumerable-read-only-property

Define a non-enumerable read-only property.

stdlib-js/array-float32

Float32Array.

stdlib-js/array-float64

Float64Array.

stdlib-js/array-nans

Create an array filled with NaNs and having a specified length.

stdlib-js/array-uint32

Uint32Array.

stdlib-js/array-zeros

Create a zero-filled array having a specified length.

stdlib-js/assert-is-uint32array

Test if a value is a Uint32Array.

stdlib-js/console-log-each

Insert array element values into a format string and print the result.

stdlib-js/constants-uint32-max

Maximum unsigned 32-bit integer.

stdlib-js/math-base-assert-is-nan

Test if a double-precision floating-point numeric value is NaN.

stdlib-js/math-base-assert-is-nanf

Test if a single-precision floating-point numeric value is NaN.

stdlib-js/math-base-special-pow

Exponential function.

stdlib-js/random-base-minstd

A linear congruential pseudorandom number generator (LCG) based on Park and Miller.

tape-testing/tape

tap-producing test harness for node and browsers

gotwarlost/istanbul

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale