stdlib-js/utils-constant-function

Uniformly distributed pseudorandom numbers between 0 and 1.

tap-producing test harness for node and browsers

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

Minimal TAP output formatter.

Benchmark harness.

Evaluate a normalized Hermite polynomial using single-precision floating-point arithmetic.

Create a factory function for filling strided arrays with pseudorandom values drawn from a ternary PRNG.

Create a factory function for filling strided arrays with pseudorandom values drawn from a unary PRNG.

Create a factory function for filling strided arrays with pseudorandom values drawn from a binary PRNG.

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

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

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

Generate pseudorandom numbers drawn from an exponential distribution.

Studentized range distribution quantile function.

Studentized range cumulative distribution function (CDF).

Natural logarithm of the cumulative distribution function (CDF) for a lognormal distribution.

Natural logarithm of the cumulative distribution function (CDF) for a normal distribution.

Exponential distribution cumulative distribution function (CDF).

Test if a value is an `ArrayBuffer` view.

Boolean indicating if the current environment is a mobile device.

Boolean indicating if the current environment is a touch device.

Create an iterator for generating pseudorandom numbers drawn from an arcsine distribution.

Arcsine distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a Bernoulli distribution.

Bernoulli distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a beta distribution.

Beta distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a beta prime distribution.

Beta prime distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a binomial distribution.

Binomial distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution.

Create an iterator for generating pseudorandom numbers drawn from a Student's t distribution.

Standard normal pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a standard normal distribution using the Box-Muller transform.

Normally distributed pseudorandom numbers using the Box-Muller transform.

Create an iterator for generating pseudorandom numbers drawn from a Cauchy distribution.

Cauchy distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from a chi distribution.

Chi distributed pseudorandom numbers.

Create an iterator for generating pseudorandom numbers drawn from an F distribution.