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

Binomial distribution constructor.

JavaScript

Apache License 2.0

This is a JavaScript library for working with the binomial distribution, a probability distribution that models the number of successes in a fixed number of independent trials. It provides a constructor to create binomial distribution objects with configurable parameters like the number of trials and success probability. The library includes methods for calculating statistical properties (mean, variance, etc.) and evaluating the cumulative distribution function, probability mass function, and other related functions. It's designed for developers and data scientists who need to perform statistical computations involving binomial distributions in their JavaScript applications.

Total donated

Undistributed

Share with your subscribers:

Recipients

How the donated funds are distributed

Support the dependencies of stdlib-js/stats-base-dists-binomial-ctor

stdlib-js/assert-is-positive-integer

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

stdlib-js/assert-is-probability

Test if a value is a probability.

stdlib-js/stats-base-dists-binomial-cdf

Binomial distribution cumulative distribution function (CDF).

stdlib-js/stats-base-dists-binomial-kurtosis

Binomial distribution excess kurtosis.

stdlib-js/stats-base-dists-binomial-logpmf

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

stdlib-js/stats-base-dists-binomial-mean

Binomial distribution expected value.

stdlib-js/stats-base-dists-binomial-median

Binomial distribution median.

stdlib-js/stats-base-dists-binomial-mgf

Binomial distribution moment-generating function (MGF).

stdlib-js/stats-base-dists-binomial-mode

Binomial distribution mode.

stdlib-js/stats-base-dists-binomial-pmf

Binomial distribution probability mass function (PMF).

stdlib-js/stats-base-dists-binomial-quantile

Binomial distribution quantile function.

stdlib-js/stats-base-dists-binomial-skewness

Binomial distribution skewness.

stdlib-js/stats-base-dists-binomial-stdev

Binomial distribution standard deviation.

stdlib-js/stats-base-dists-binomial-variance

Binomial distribution variance.

stdlib-js/string-format

Insert supplied variable values into a format string.

stdlib-js/utils-define-nonenumerable-read-only-accessor

Define a non-enumerable read-only accessor.

stdlib-js/utils-define-nonenumerable-read-only-property

Define a non-enumerable read-only property.

stdlib-js/utils-define-property

Define (or modify) an object property.

stdlib-js/error-tools-fmtprodmsg

Format an error message for production.

stdlib-js/assert-has-own-property

Test if an object has a specified property.

stdlib-js/assert-is-function

Test if a value is a function.

stdlib-js/constants-float64-eps

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

stdlib-js/math-base-assert-is-nan

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

stdlib-js/random-array-discrete-uniform

Create an array containing pseudorandom numbers drawn from a discrete uniform distribution.

stdlib-js/random-array-uniform

Create an array containing pseudorandom numbers drawn from a continuous uniform distribution.

tape-testing/tape

tap-producing test harness for node and browsers

gotwarlost/istanbul

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