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 |
DOI: |
10.32614/CRAN.package.markovmix |
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:
Downloads:
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