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.Dcmm-class        A Double Chain Markov Model (DCMM).
march.Indep-class       An independence model.
march.Mc-class          A Markov chain of order >= 1.
march.Model-class       A basic and virtual march model.
march.Mtd-class         A Mixture Transition Distribution (MTD) model.
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.construct    Construct a double chain Markov model (DCMM).
march.dcmm.viterbi      Viterbi algorithm for a DCMM 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.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.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)
