JSPM

Gamma distribution expected value.

Gamma distribution skewness.

Gamma distribution moment-generating function (MGF).

Gamma distribution differential entropy.

Gamma distribution variance.

Gamma distribution standard deviation.

Gamma distribution constructor.

A library for calculating the PDF, CDFs, and quantile function values of common probability distributions

Inverse gamma distribution standard deviation.

Natural logarithm of the probability density function (PDF) for an inverse gamma distribution.

Inverse gamma distribution mode.

Glaisher-Kinkelin constant.

Complete plug and play Black-Scholes-Merton model for option pricing with features including implied volatility and Greeks.

gamma function library (commonjs/esm)

Inverse gamma distribution constructor.

Inverse gamma distribution variance.

Inverse gamma distribution differential entropy.

Inverse gamma distribution quantile function.

Inverse gamma distribution excess kurtosis.

Inverse gamma distribution expected value.

Trigamma function.

Inverse gamma distribution.

Inverse gamma distribution skewness.

Compute the falling factorial.

Small library to apply a gamma filter to a image

Create an iterator which evaluates the digamma function for each iterated value.

Seedable random number generator functions.

Polygamma function.

The Euler-Mascheroni constant.

Glaisher-Kinkelin constant.

Compute the rising factorial.

Convert between logarithmic srgb and linear raw color data.

Evaluates the natural logarithm of the beta function.

Create an iterator which evaluates the natural logarithm of the beta function.

Count gamma radiation with your webcam using WebRTC and Canvas

gamma-to-linear convenience utilities

Create an iterator which evaluates the natural logarithm of the gamma function for each iterated value.

The Euler-Mascheroni constant.

Small library to apply a gamma filter to a image

A tiny but powerful JavaScript library for all kinds of color manipulations.

A set of functions for calculating the lower and upper incomplete gamma functions

This library provides a simple way to do math operations in base 100

Random Variate Generators

Create an iterator which computes `gamma(x+1) - 1` for each iterated value.

Create an iterator which evaluates the factorial function for each iterated value.

A lightweight JavaScript configuration utility.

Incomplete gamma function.

Create an iterator which evaluates the natural logarithm of the factorial function for each iterated value.

Raspberry Pi GPIO based LED Strip plugin for Homebridge with gamma correction

Encode positive integers, positive integer sequences, and rising integer sequences in (Elias) γ code.

Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.

the gamma function (Γ)

A sample library nodejs

The PDF and CDF of the gamma distribution

Create an iterator which evaluates the trigamma function for each iterated value.

An npm package to query data from the Lund/LBNL Nuclear Data Search (http://nucleardata.nuclear.lu.se/toi/) Table of Isotopes

Sign of the gamma function.

incomplete gamma function library (commonjs/esm)

Natural logarithm of the beta function.

Next auth provider for gamma

Create an array containing pseudorandom numbers drawn from a gamma distribution.

Computes a factorial.

Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.

Create an iterator which evaluates the gamma function for each iterated value.

Create an array containing pseudorandom numbers drawn from an inverse gamma distribution.

Interact with the IT-sections account system

Create a readable stream for generating pseudorandom numbers drawn from an inverse gamma distribution.

protobuf for gamma display client; typescript, javascript and java

Evaluates the digamma function.

Gamma function.

Create an iterator for generating pseudorandom numbers drawn from an inverse gamma distribution.

Inverse incomplete gamma function.

Create an iterator for generating pseudorandom numbers drawn from a gamma distribution.

Fill a strided array with pseudorandom numbers drawn from a gamma distribution.

Beta function.

Create an iterator which evaluates the beta function.

Create a readable stream for generating pseudorandom numbers drawn from a gamma distribution.