| march-package {march} | R Documentation |
Computation of Markovian models for categorical data
Description
This package is dedicated to the computation of various Markovian models for categorical data including the independence model, homogeneous Markov chains of any order, the Mixture Transition Distribution (MTD) model for the approximation of high-order homogeneous Markov chains, Hidden Markov Models (HMMs) and Double Chain Markov Models (DCMMs).
Author(s)
Ogier Maitre and Kevin Emery, with contributions from Oliver Buschor and Andre Berchtold
References
Berchtold A, Raftery AE (2002) The Mixture Transition Distribution Model for High-Order Markov Chains and Non-Gaussian Time-Series. Statistical Science 17(3), 328-356.
Berchtold A (2002) High-order extensions of the Double Chain Markov Model. Stochastic Models 18, 193-227.
See Also
march.Model-class, march.Dataset-class.