MData-class             A Reference Class which represents multivariate
                        data.
ModelHMMR-class         A Reference Class which represents a fitted
                        HMMR model.
ModelMHMMR-class        A Reference Class which represents a fitted
                        MHMMR model.
ModelMRHLP-class        A Reference Class which represents a fitted
                        MRHLP model.
ModelPWR-class          A Reference Class which represents a fitted PWR
                        model.
ModelRHLP-class         A Reference Class which represents a fitted
                        RHLP model.
ParamHMMR-class         A Reference Class which contains parameters of
                        a HMMR model.
ParamMHMMR-class        A Reference Class which contains parameters of
                        a MHMMR model.
ParamMRHLP-class        A Reference Class which contains the parameters
                        of a MRHLP model.
ParamPWR-class          A Reference Class which contains the parameters
                        of a PWR model.
ParamRHLP-class         A Reference Class which contains parameters of
                        a RHLP model.
StatHMMR-class          A Reference Class which contains statistics of
                        a HMMR model.
StatMHMMR-class         A Reference Class which contains statistics of
                        a MHMMR model.
StatMRHLP-class         A Reference Class which contains statistics of
                        a MRHLP model.
StatPWR-class           A Reference Class which contains statistics of
                        a PWR model.
StatRHLP-class          A Reference Class which contains statistics of
                        a RHLP model.
emHMMR                  emHMMR implemens the EM (Baum-Welch) algorithm
                        to fit a HMMR model.
emMHMMR                 emMHMMR implemens the EM (Baum-Welch) algorithm
                        to fit a MHMMR model.
emMRHLP                 emMRHLP implemens the EM algorithm to fit a
                        MRHLP model.
emRHLP                  emRHLP implements the EM algorithm to fit a
                        RHLP model.
fitPWRFisher            fitPWRFisher implements an optimized dynamic
                        programming algorithm to fit a PWR model.
hmmProcess              hmmProcess calculates the probability
                        distribution of a random process following a
                        Markov chain
mkStochastic            mkStochastic ensures that it is a stochastic
                        vector, matrix or array.
multivrealdataset       Time series representing the three acceleration
                        components recorded over time with body mounted
                        accelerometers during the activity of a given
                        person.
multivtoydataset        A simulated non-stationary multidimensional
                        time series with regime changes.
samurais-package        SaMUraiS: StAtistical Models for the
                        UnsupeRvised segmentAtIon of time-Series
selectHMMR              selectHMMR implements a model selection
                        procedure to select an optimal HMMR model with
                        unknown structure.
selectMHMMR             selectMHMMR implements a model selection
                        procedure to select an optimal MHMMR model with
                        unknown structure.
selectMRHLP             selecMRHLP implements a model selection
                        procedure to select an optimal MRHLP model with
                        unknown structure.
selectRHLP              selecRHLP implements a model selection
                        procedure to select an optimal RHLP model with
                        unknown structure.
univrealdataset         Time series representing the electrical power
                        consumption during a railway switch operation
univtoydataset          A simulated non-stationary time series with
                        regime changes.
