stdlib-js/stats-base-dists-beta-cto...

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

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.

Beta distribution cumulative distribution function (CDF).

Beta distribution differential entropy.

Beta distribution excess kurtosis.

Beta distribution logarithm of cumulative distribution function (CDF).

Beta distribution logarithm of probability density function (PDF).

Beta distribution expected value.

Beta distribution median.

Beta distribution moment-generating function (MGF).

Beta distribution mode.

Beta distribution probability density function (PDF).

Beta distribution quantile function.

Beta distribution skewness.

Beta distribution standard deviation.

Beta distribution variance.