Markov Chains
Compute Akaike Information Criterion (AIC).The AIC (Akaike Information...
Compute Bayesian Information Criterion (BIC).
Dataset for march package.
Extract a sequence from a dataset.
Construct a dataset from a data.frame or a matrix.
Load a dataset from a file.
A Double Chain Markov Model (DCMM).
Construct a double chain Markov model (DCMM).
Viterbi algorithm for a DCMM model.
An independence model.
Bailey Confidence Intervals for an Independence model.
Construct an independence model (zero-order Markov chain).
Thompson Confidence Intervals for an Independence model.
A Markov chain of order >= 1.
Bailey Confidence Intervals for a Markov chain.
Construct an homogeneous Markov Chain.
Thompson Confidence Intervals for a Markov chain model.
A basic and virtual march model.
A Mixture Transition Distribution (MTD) model.
Bailey Confidence Intervals for a MTD model.
Construct a Mixture Transition Distribution (MTD) model.
Thompson Confidence Intervals for a MTD model.
Computation of Markovian models for categorical data
Load a march.Model.
march.Model Summary.
Save a march.Model
Song of the Wood Pewee (text format)
Computation of various Markovian models for categorical data including homogeneous Markov chains of any order, MTD models, Hidden Markov models, and Double Chain Markov Models.