Compute Bayesian Information Criterion (BIC).
A Mixture Transition Distribution (MTD) model.
Computation of Markovian models for categorical data
Dataset for march package.
Employment status in two categories (march dataset format)
A Markov chain of order >= 1.
A basic and virtual march model.
Compute Akaike Information Criterion (AIC).
The AIC (Akaike Information Criterion) is computed for
a given march.Model-class Bailey Confidence Intervals for a Markov chain.
Construct an homogeneous Markov Chain.
Load a march.Model.
march.Model Summary.
march.dataset.loadFromFile
Load a dataset from a file.
Thompson Confidence Intervals for a MTD model.
Thompson Confidence Intervals for an Independence model.
Construct a Mixture Transition Distribution (MTD) model.
Sleep disorders (data frame format)
Construct an independence model (zero-order Markov chain).
Sleep disorders (march dataset format)
march.dataset.loadFromDataFrame
Construct a dataset from a data.frame or a matrix.
An independence model.
A Double Chain Markov Model (DCMM).
march.dataset.h.extractSequence
Extract a sequence from a dataset.
Save a march.Model
Song of the Wood Pewee (march dataset format)
Bailey Confidence Intervals for a MTD model.
Thompson Confidence Intervals for a Markov chain model.
Viterbi algorithm for a DCMM model.
Construct a double chain Markov model (DCMM).
Bailey Confidence Intervals for an Independence model.
Song of the Wood Pewee (data frame format)
Song of the Wood Pewee (text format)