Acausal makes it easy to create and edit Markov Chains.

Features:

• For portability all classes are easily serializable and deserializable into data transfer objects.
• For immutability all classes include static functions which are pure and immutable.
• For ease of use all classes include impure, mutable methods which

import { MarkovChain, Distribution, Random } from 'acausal';

// example a
// example b

// example c
// examble d

// example f
// example g

Run:

npm install -s scalr

acausal is also implemented in Golang. You can find the module here:

• Gocausal

For documentation of underlying functions, please see the docs.