stdlib-js/stats-base-dists-chi-ctor

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

Chi distribution excess kurtosis.

Chi distribution expected value.

Chi distribution skewness.

Chi distribution standard deviation.

Chi distribution variance.

Insert supplied variable values into a format string.

Define a non-enumerable read-only accessor.

Define a non-enumerable read-only property.

Define (or modify) an object property.

Format an error message for production.

Test if an object has a specified property.

Test if a value is a function.

Difference between one and the smallest value greater than one that can be represented as a double-precision floating-point number.

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

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.

Chi distribution cumulative distribution function (CDF).

Chi distribution entropy.

Natural logarithm of the probability density function (PDF) for a chi distribution.

Chi distribution mode.

Chi distribution probability density function (PDF).

Chi distribution quantile function.