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march (version 1.4)

Markov Chains

Description

Computation of various Markovian models for categorical data including homogeneous Markov chains of any order, MTD models, Hidden Markov models, and Double Chain Markov Models.

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Version

Install

install.packages('march')

Monthly Downloads

187

Version

1.4

License

GPL-2

Maintainer

Andre Berchtold

Last Published

May 12th, 2016

Functions in march (1.4)

march.mc.construct

Construct an homogeneous Markov Chain.
march.BIC

Compute Bayesian Information Criterion (BIC).
march.Mc-class

A Markov chain of order >= 1.
march.thompson,march.Mc,numeric-method

This method is called with the object "march.Mc" and the aplha "numeric" and provides it to the march.thompson function.
march.mtd.construct

Construct a Mixture Transition Distribution (MTD) model.
march.thompson

Thompson Confidence Intervals for a march.Model.
march.dcmm.construct

Construct a double chain Markov model (DCMM).
march.name

march.Model name.
pewee_df

Song of the Wood Pewee (data frame format)
march.write

Save a march.Model
sleep

Sleep disorders (march dataset format)
march.thompson,march.Dcmm,numeric-method

This method is called with the object "march.Dcmm" and the aplha "numeric" and provides it to the march.thompson function.
march.summary

march.Model Summary.
march.Dcmm-class

A Double Chain Markov Model (DCMM).
march-package

Computation of Markovian models for categorical data
sleep_df

Sleep disorders (data frame format)
march.thompson,march.Mtd,numeric-method

This method is called with the object "march.Mtd" and the aplha "numeric" and provides it to the march.thompson function.
pewee_t

Song of the Wood Pewee (text format)
march.dataset.h.extractSequence

Extract a sequence from a dataset.
march.name,march.Mtd-method

This method is called with the object "march.Mtd" and provides it to the march.name function.
march.read

Load a march.Model.
march.Dataset-class

Dataset for march package.
march.name,march.Indep-method

This method is called with the object "march.Indep" and provides it to the march.name function.
march.name,march.Dcmm-method

This method is called with the object "march.Dcmm" and provides it to the march.name function.
march.thompson,march.Indep,numeric-method

This method is called with the object "march.Indep" and the aplha "numeric" and provides it to the march.thompson function.
march.name,march.Mc-method

This method is called with the object "march.MC" and provides it to the march.name function.
march.AIC

Compute Akaike Information Criterion (AIC). The AIC (Akaike Information Criterion) is computed for a given march.Model-class according to the data used during construction.
march.dataset.loadFromDataFrame

Construct a dataset from a data.frame or a matrix.
march.dataset.loadFromFile

Load a dataset from a file.
march.dcmm.viterbi

Viterbi algorithm for a DCMM model.
march.indep.construct

Construct an independence model (zero-order Markov chain).
pewee

Song of the Wood Pewee (march dataset format)
march.Model-class

A basic and virtual march model.
march.Indep-class

An independence model.
march.Mtd-class

A Mixture Transition Distribution (MTD) model.