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markovchain (version 0.3.0.1)

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

0.3.0.1

License

GPL-2

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Repository

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

Maintainer

Giorgio Spedicato

Last Published

June 19th, 2015

Functions in markovchain (0.3.0.1)

inferHyperparam

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

Holson data set

transitionProbability

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

markovchainListFit

Fit a markovchainList

predictiveDistribution

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

CD4 cells counts on HIV Infects between zero and six month

Mobility between income quartiles

absorbingStates

Various function to perform statistical and probabilistic analysis

Stationary states of a markovchain objeect

Preprogluccacon DNA protein bases sequences

Function to check if a Markov chain is irreducible

markovchain-package

Easy Handling Discrete Time Markov Chains

Alofi island daily rainfall

Function to fit a discrete Markov chain

Verify if a state j is reachable from state i.

Defined states of a transition matrix

First passage across states

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

markovchainList-class

Class "markovchainList"

markovchain-class

Class "markovchain"

conditionalDistribution

conditionalDistribution of a Markov Chain

Function to generate a sequence of random CTMC transitions.

generatorToTransitionMatrix

Function to obtain the transition matrix from the generator.

priorDistribution

Prior Distribution