stdlib-js/assert-is-positive-intege...

Test if a value is a boolean.

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.

Define a non-enumerable read-only property.

Test if a value is a number having an integer value.

Number constructor.

Execute a set of functions in parallel.

Create an iterator which cumulatively tests whether at least `n` iterated values are truthy.

Test whether some `own` properties of a provided object satisfy a predicate function for at least `n` properties.

Test whether an object contains at least n properties (own and inherited) which pass a test implemented by a predicate function.

Create an ndarray function interface which accepts a callback function and performs multiple dispatch.

Create a strided array function interface which accepts a callback function and performs multiple dispatch.

Studentized range distribution quantile function.

Studentized range cumulative distribution function (CDF).

Levene's test for equal variances.

REPL presentation.

Compute an unbiased sample covariance matrix incrementally.

Compute a sample Pearson product-moment correlation distance matrix incrementally.

Compute a sample Pearson product-moment correlation matrix incrementally.

Incrementally partition data into `k` clusters.

Perform a chi-square independence test.

Two-dimensional kernel density estimation.

Incrementally perform binary classification using stochastic gradient descent (SGD).

Create an ndarray function interface which performs multiple dispatch.

Perform a chi-square goodness-of-fit test.

Create a strided array function interface which performs multiple dispatch.

Create a readable stream for generating pseudorandom numbers drawn from an arcsine distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Bernoulli distribution.

Create a readable stream for generating pseudorandom numbers drawn from a beta distribution.

Create a readable stream for generating pseudorandom numbers drawn from a beta prime distribution.

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

Create a readable stream for generating pseudorandom numbers drawn from a binomial distribution.

Binomial distributed pseudorandom numbers.

Create a readable stream for generating pseudorandom numbers drawn from a standard normal distribution.

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

Create a readable stream for generating pseudorandom numbers drawn from a Cauchy distribution.

Create a readable stream for generating pseudorandom numbers drawn from a chi distribution.

Create a readable stream for generating pseudorandom numbers drawn from an F distribution.

Create a readable stream for generating pseudorandom numbers drawn from a Student's t distribution.

Create a readable stream for generating pseudorandom numbers drawn from a chi-square distribution.

Create a readable stream for generating pseudorandom numbers drawn from a raised cosine distribution.

Create a readable stream for generating pseudorandom numbers drawn from a discrete uniform distribution.