mary-markov
Perform a series of probability calculations with Markov Chains and Hidden Markov Models.
Perform a series of probability calculations with Markov Chains and Hidden Markov Models.
Lognormal distribution quantile function.
Normal distribution quantile function.
Define probability of getting results
Laplace distribution cumulative distribution function (CDF).
スマホゲームなどの一般的なガチャにおいて、欲しいアイテムをGETするための確率等を簡単に計算できるライブラリ
tools for weighted arrays
Package provides the iris dataset for javascript
Simulate Poisson Processes, Brownian motion, Markov chains, and normal random variables
A collection of probability distribution functions
A basic probability table lookup
Check if Pokemon flee from battle
Check if player escape from battle with wild Pokemon and get probability of escaping
translate languages using a statistical model
Distributions and random sampling.
Helper library to perform operations on Observable Markov Models (OMMs). Markov chains are surprisingly practical.
a set of values with associated probabilities
weighted random event generator
Statistics2 is a module that provides normal, Chi-square, t- and F- probability distributions for JavaScript. It is a fork/continuation of Shin-ichiro Hara's original code in Ruby.
Simple Bayesian Belief Network (BBN) library in JavaScript.