##Markov Chain

This library is an implementation of an observable markov chain.

###How to Use ####Constructor

var myMarkovChain = new MarkovChain();

The constructor creates a new MarkovChain Object. It can take a data point or an array of data points as an argument.

####Add Data

myMarkovChain.add(data);

Adds the given data to the MarkovChain. Data can be a single data point of an array of data points.

####Get Data

myMarkovChain.get(currentState, nextState);

-Returns the observed probability (number) of the next state given the current state.

myMarkovChain.get(currentState);

-Returns an Object with the observed next states as keys and their associated observed probabilities as values.

myMarkovChain.get();

-Returns the entire observed conditional probability table as an Object with each observed state as a key and an associated Object with each observed next state as a key and its associated observed probability.