Functions and S4 methods to create and manage discrete time Markov chains more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of their structural proprieties) analysis are provided. See Spedicato (2017) <doi:10.32614/RJ-2017-036>. Some functions for continuous times Markov chains depend on the suggested ctmcd package.
Version: 0.10.0 Depends: R (≥ 4.2.0), Matrix (≥ 1.5-0), methods Imports: igraph, expm, stats4, parallel, Rcpp (≥ 1.0.2), RcppParallel, utils, stats, grDevices LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.9.600.4.0) Suggests: knitr, testthat, diagram, DiagrammeR, msm, Rsolnp, rmarkdown, ctmcd, bookdown, rticles Enhances: etm Published: 2024-11-14 DOI: 10.32614/CRAN.package.markovchain Author: Giorgio Alfredo Spedicato [aut, cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [aut], Ignacio Cordón [aut], Vandit Jain [ctb], Toni Giorgino [ctb], Richèl J.C. Bilderbeek [ctb], Daniel Ebbert [ctb], Shreyash Maheshwari [ctb], Reinhold Koch [ctb] Maintainer: Giorgio Alfredo Spedicato <spedicato_giorgio at yahoo.it> BugReports: https://github.com/spedygiorgio/markovchain/issues License: MIT + file LICENSE URL: https://github.com/spedygiorgio/markovchain/ NeedsCompilation: yes SystemRequirements: GNU make Citation: markovchain citation info Materials: README NEWS In views: Finance CRAN checks: markovchain results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=markovchain to link to this page.
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