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markovchain: Easy Handling Discrete Time Markov Chains
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 depends on the suggested ctmcd package, that, as May 2023, can be retrieved from <https://cran.r-project.org/src/contrib/Archive/ctmcd/ctmcd_1.4.2.tar.gz>.
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Package details |
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| Author | Giorgio Alfredo Spedicato [aut, cre] (<https://orcid.org/0000-0002-0315-8888>), Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb] (<https://orcid.org/0000-0001-7242-1873>), Deepak Yadav [aut], Ignacio Cordón [aut] (<https://orcid.org/0000-0002-3152-0231>), Vandit Jain [ctb], Toni Giorgino [ctb] (<https://orcid.org/0000-0001-6449-0596>), Richèl J.C. Bilderbeek [ctb] (<https://orcid.org/0000-0003-1107-7049>), Daniel Ebbert [ctb] (<https://orcid.org/0000-0003-3666-7205>), Shreyash Maheshwari [ctb] |
| Maintainer | Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it> |
| License | MIT + file LICENSE |
| Version | 0.9.5 |
| URL | https://github.com/spedygiorgio/markovchain/ |
| Package repository | View on CRAN |
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