Markov Chains

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Documentation for package ‘march’ version 3.3.2

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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)