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markovchain (version 0.3.1)

Easy Handling Discrete Time Markov Chains

Description

Functions and S4 methods to create and manage discrete time Markov chains (DTMC) more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis are provided.

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Install

install.packages('markovchain')

Monthly Downloads

7,544

Version

0.3.1

License

GPL-2

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Repository

http://github.com/spedygiorgio/markovchain/

Maintainer

Giorgio Spedicato

Last Published

July 7th, 2015

Functions in markovchain (0.3.1)

First passage across states

Preprogluccacon DNA protein bases sequences

absorbingStates

Various function to perform structural analysis of DTMC

priorDistribution

Prior Distribution

Defined states of a transition matrix

Function to check if a Markov chain is irreducible

Holson data set

inferHyperparam

Function to infer the hyperparameters for Bayesian inference from an a priori matrix or a data set

conditionalDistribution

conditionalDistribution of a Markov Chain

predictiveDistribution

Function to compute the probability of observing a new data set, given a data set

markovchain-class

Class "markovchain"

markovchainList-class

Class "markovchainList"

transitionProbability

Function to get the transition probabilities from initial to subsequent status.

Function to generate a sequence of random CTMC transitions.

Stationary states of a markovchain objeect

markovchainListFit

Fit a markovchainList

Mobility between income quartiles

markovchain-package

Easy Handling Discrete Time Markov Chains

Alofi island daily rainfall

CD4 cells counts on HIV Infects between zero and six month

generatorToTransitionMatrix

Function to obtain the transition matrix from the generator.

Function to fit a discrete Markov chain

Verify if a state j is reachable from state i.

Function to generate a sequence of states from homogeneous or non-homogeneous Markov chains.