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GenMarkov (version 0.2.1)

Multivariate Markov Chains

Description

Provides routines to estimate the Mixture Transition Distribution Model based on Raftery (1985) and Nicolau (2014) 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.

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Version

Install

install.packages('GenMarkov')

Monthly Downloads

165

Version

0.2.1

License

GPL (>= 2)

Maintainer

Carolina Vasconcelos

Last Published

March 5th, 2025

Functions in GenMarkov (0.2.1)

stockreturns

Stock returns data
MMC_tpm

Transition Probability Matrices
multi.mtd

Estimation of Multivariate Markov Chains - MTD model
multi.mtd_probit

Estimation of Multivariate Markov Chains: MTD - Probit Model
mmcx

Non-homogeneous Multivariate Markov Chains