GenMarkov: Multivariate Markov Chains

Provides routines to estimate the Mixture Transition Distribution Model based on Raftery (1985) <> and Nicolau (2014) <doi:10.1111/sjos.12087> specifications, for multivariate data. Additionally, provides a function for the estimation of a new model for multivariate non-homogeneous Markov chains. This new specification, Generalized Multivariate Markov Chains (GMMC) was proposed by Carolina Vasconcelos and Bruno Damasio and considers (continuous or discrete) covariates exogenous to the Markov chain.

Version: 0.1.0
Imports: alabama (≥ 2015.3-1), fastDummies (≥ 1.6.3), Hmisc (≥ 4.5-0), matrixcalc (≥ 1.0-3), maxLik (≥ 1.4-8), nnet (≥ 7.3-16), stats (≥ 4.1.0)
Published: 2021-11-08
Author: Carolina Vasconcelos [aut, cre], Bruno Damasio [aut]
Maintainer: Carolina Vasconcelos <cvasconcelos at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: GenMarkov results


Reference manual: GenMarkov.pdf


Package source: GenMarkov_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): GenMarkov_0.1.0.tgz, r-oldrel (arm64): GenMarkov_0.1.0.tgz, r-release (x86_64): GenMarkov_0.1.0.tgz, r-oldrel (x86_64): GenMarkov_0.1.0.tgz


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