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

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

Poisson distribution cumulative distribution function (CDF).

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.

Round a numeric value to the nearest integer.

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.

Poisson distribution entropy.

Poisson distribution excess kurtosis.

Natural logarithm of the probability mass function (PMF) for a Poisson distribution.

Poisson distribution expected value.

Poisson distribution median.

Poisson distribution moment-generating function (MGF).

Poisson distribution mode.

Poisson distribution probability mass function (PMF).

Poisson distribution quantile function.

Poisson distribution skewness.

Poisson distribution standard deviation.

Poisson distribution variance.