stdlib-js/assert-is-error

Determine the specification defined classification of an object.

Test if a value is a boolean.

Check if the runtime is a web browser.

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.

Return the prototype of a provided object.

Implement prototypical inheritance by replacing the prototype of one constructor with the prototype of another constructor.

Wrap `require` in a try/catch block.

Copy or deep clone a value to an arbitrary depth.

Calculate the sum of double-precision floating-point strided array elements using pairwise summation.

Calculate the variance of a double-precision floating-point strided array using a two-pass algorithm.

Calculate the sum of single-precision floating-point strided array elements using extended accumulation and returning an extended precision result.

Interchange two double-precision floating-point vectors.

Multiply a double-precision floating-point vector by a constant.

Calculate the sum of single-precision floating-point strided array elements using pairwise summation.

Calculate the variance of a double-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array using Welford's algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.

Calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.

Copy values from x into y.

Calculate the dot product of two double-precision floating-point vectors.

Adds a constant to each single-precision floating-point strided array element and computes the sum using pairwise summation.

Interchange two single-precision floating-point vectors.

Calculate the variance of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer.

Calculate the sum of single-precision floating-point strided array elements using pairwise summation with extended accumulation and returning an extended precision result.

Calculate the sum of single-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Calculate the dot product of two single-precision floating-point vectors.

Calculate the sum of double-precision floating-point strided array elements using an improved Kahan–Babuška algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the variance of a double-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.

Adds a constant to each double-precision floating-point strided array element and computes the sum using pairwise summation.

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 uniform distribution.

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

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

Calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Calculate the variance of a single-precision floating-point strided array using a one-pass textbook algorithm.

Calculate the variance of a single-precision floating-point strided array ignoring NaN values and using a one-pass trial mean algorithm.

Calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values, using a two-pass error correction algorithm with extended accumulation, and returning an extended precision result.

Calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.

Fill a double-precision floating-point strided array with a specified scalar constant.