markovmix: Mixture of Markov Chains with Support of Higher Orders and Multiple Sequences

Fit mixture of Markov chains of higher orders from multiple sequences. It is also compatible with ordinary 1-component, 1-order or single-sequence Markov chains. Various utility functions are provided to derive transition patterns, transition probabilities per component and component priors. In addition, print(), predict() and component extracting/replacing methods are also defined as a convention of mixture models.

Version: 0.1.3
Depends: R (≥ 3.5.0)
Imports: dplyr (≥ 1.0.8), forcats (≥ 1.0.0), pillar (≥ 1.9.0), purrr (≥ 0.3.4), Rcpp, rlang (≥ 1.1.0), tibble (≥ 3.1.6), tidyr (≥ 1.2.0)
LinkingTo: Rcpp
Suggests: bench (≥ 1.1.2), covr, ggplot2 (≥ 3.4.2), testthat (≥ 3.1.7)
Published: 2023-12-02
Author: Xiurui Zhu [aut, cre]
Maintainer: Xiurui Zhu <zxr6 at 163.com>
BugReports: https://github.com/zhuxr11/markovmix/issues
License: MIT + file LICENSE
URL: https://github.com/zhuxr11/markovmix
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: markovmix results

Documentation:

Reference manual: markovmix.pdf

Downloads:

Package source: markovmix_0.1.3.tar.gz
Windows binaries: r-devel: markovmix_0.1.3.zip, r-release: markovmix_0.1.3.zip, r-oldrel: markovmix_0.1.3.zip
macOS binaries: r-release (arm64): markovmix_0.1.3.tgz, r-oldrel (arm64): markovmix_0.1.3.tgz, r-release (x86_64): markovmix_0.1.3.tgz
Old sources: markovmix archive

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