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GenMarkov  

Multivariate Markov Chains
View on CRAN: Click here


Download and install GenMarkov package within the R console
Install from CRAN:
install.packages("GenMarkov")

Install from Github:
library("remotes")
install_github("cran/GenMarkov")

Install by package version:
library("remotes")
install_version("GenMarkov", "0.2.1")



Attach the package and use:
library("GenMarkov")
Maintained by
Carolina Vasconcelos
[Scholar Profile | Author Map]
First Published: 2021-11-08
Latest Update: 2023-12-19
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.
How to cite:
Carolina Vasconcelos (2021). GenMarkov: Multivariate Markov Chains. R package version 0.2.1, https://cran.r-project.org/web/packages/GenMarkov. Accessed 01 May. 2025.
Previous versions and publish date:
0.1.0 (2021-11-08 09:50), 0.2.0 (2023-12-19 13:20)
Other packages that cited GenMarkov R package
View GenMarkov citation profile
Other R packages that GenMarkov depends, imports, suggests or enhances
Complete documentation for GenMarkov
Functions, R codes and Examples using the GenMarkov R package
Some associated functions: mmcx . multi.mtd . multi.mtd_probit . 
Some associated R codes: mmcx.R . multi.mtd.R . multi.mtd_probit.R .  Full GenMarkov package functions and examples
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