markovchain: Easy Handling Discrete Time Markov Chains (original) (raw)
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 |
Maintainer: | Giorgio Alfredo Spedicato <spedicato_giorgio at yahoo.it> |
BugReports: | https://github.com/spedygiorgio/markovchain/issues |
License: | MIT + file |
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 formhttps://CRAN.R-project.org/package=markovchainto link to this page.