stdlib-js/stats-base-dists-frechet-...

Test if a value is a number.

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

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

Fréchet distribution kurtosis.

Fréchet distribution expected value.

Fréchet distribution skewness.

Fréchet distribution standard deviation.

Fréchet 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.

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.

Fréchet distribution cumulative distribution function (CDF).

Fréchet distribution differential entropy.

Fréchet distribution logarithm of cumulative distribution function (CDF).

Fréchet distribution logarithm of probability density function (PDF).

Fréchet distribution median.

Fréchet distribution mode.

Fréchet distribution probability density function (PDF).

Fréchet distribution quantile function.

Fréchet distribution.