stdlib-js/assert-is-number

Define a non-enumerable read-only property.

Determine the specification defined classification of an object.

Detect native Symbol support.

Test if a value is a boolean.

Proxies nodejs require in order to allow overriding dependencies during testing.

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Minimal TAP output formatter.

Benchmark harness.

Detect native Symbol.toStringTag support.

Number constructor.

128-bit complex number.

64-bit complex number.

Revive a JSON-serialized 64-bit complex number.

Revive a JSON-serialized 128-bit complex number.

Test if a value is a number having a nonpositive finite value.

Test if a value is a number having a finite negative value.

Test if a value is a number having a finite positive value.

Convert an array to an object supporting fancy indexing.

Create a single-element array containing a provided scalar value.

Return a read-only shifted view of an input ndarray.

Return a read-only truncated view of an input ndarray.

Return a shifted view of an input ndarray.

Return a truncated view of an input ndarray.

Generate pseudorandom numbers drawn from an exponential distribution.

Fancy multidimensional array constructor.

Convert a number to a word representation.

Evaluate the terms of a continued fraction.

Levene's test for equal variances.

Convert a scalar value to a zero-dimensional ndarray.

Perform a chi-square independence test.

Two-dimensional kernel density estimation.

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

Multiple dispatch for unary mathematical functions.

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

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

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

Arcsine distributed pseudorandom numbers.

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

Cauchy distributed pseudorandom numbers.

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

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

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

Raised cosine distributed pseudorandom numbers.

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

Negative binomial distributed pseudorandom numbers.

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