R: Markov Chains

# Markov Chains

## Documentation for package ‘march’ version 3.3.2

- DESCRIPTION file.

## Help Pages

Employment.2 | Employment status in two categories (march dataset format)
march | Computation of Markovian models for categorical data
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.BIC | Compute Bayesian Information Criterion (BIC).
march.Dataset-class | Dataset for march package.
march.dataset.h.extractSequence | Extract a sequence from a dataset.
march.dataset.loadFromDataFrame | Construct a dataset from a data.frame or a matrix.
march.dataset.loadFromFile | Load a dataset from a file.
march.Dcmm-class | A Double Chain Markov Model (DCMM).
march.dcmm.construct | Construct a double chain Markov model (DCMM).
march.dcmm.viterbi | Viterbi algorithm for a DCMM model.
march.Indep-class | An independence model.
march.indep.bailey | Bailey Confidence Intervals for an Independence model.
march.indep.construct | Construct an independence model (zero-order Markov chain).
march.indep.thompson | Thompson Confidence Intervals for an Independence model.
march.Mc-class | A Markov chain of order >= 1.
march.mc.bailey | Bailey Confidence Intervals for a Markov chain.
march.mc.construct | Construct an homogeneous Markov Chain.
march.mc.thompson | Thompson Confidence Intervals for a Markov chain model.
march.Model-class | A basic and virtual march model.
march.Mtd-class | A Mixture Transition Distribution (MTD) model.
march.mtd.bailey | Bailey Confidence Intervals for a MTD model.
march.mtd.construct | Construct a Mixture Transition Distribution (MTD) model.
march.mtd.thompson | Thompson Confidence Intervals for a MTD model.
march.read | Load a march.Model.
march.summary | march.Model Summary.
march.write | Save a march.Model
pewee | Song of the Wood Pewee (march dataset format)
pewee_df | Song of the Wood Pewee (data frame format)
pewee_t | Song of the Wood Pewee (text format)
sleep | Sleep disorders (march dataset format)
sleep_df | Sleep disorders (data frame format)