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Estimation of Markov generator matrices from discrete-time observations. The implemented approaches comprise diagonal and weighted adjustment of matrix logarithm based candidate solutions as in Israel (2001) <doi:10.1111/1467-9965.00114> as well as a quasi-optimization approach. Moreover, the expectation-maximization algorithm and the Gibbs sampling approach of Bladt and Sorensen (2005) <doi:10.1111/j.1467-9868.2005.00508.x> are included.
Version: | 1.4.4 |
Imports: | Rcpp (≥ 1.0.12), coda, expm, numDeriv |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | knitr, rmarkdown, R.rsp |
Published: | 2024-02-09 |
DOI: | 10.32614/CRAN.package.ctmcd |
Author: | Marius Pfeuffer [aut, cre], Greig Smith [ctb], Goncalo dos Reis [ctb], Linda Moestel [ctb], Matthias Fischer [ctb] |
Maintainer: | Marius Pfeuffer <marius.pfeuffer at fau.de> |
License: | GPL-3 |
NeedsCompilation: | yes |
CRAN checks: | ctmcd results |
Reference manual: | ctmcd.pdf |
Vignettes: |
A ctmcd Guide ctmcd: An R Package for Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data |
Package source: | ctmcd_1.4.4.tar.gz |
Windows binaries: | r-devel: ctmcd_1.4.4.zip, r-release: ctmcd_1.4.4.zip, r-oldrel: ctmcd_1.4.4.zip |
macOS binaries: | r-release (arm64): ctmcd_1.4.4.tgz, r-oldrel (arm64): ctmcd_1.4.4.tgz, r-release (x86_64): ctmcd_1.4.4.tgz, r-oldrel (x86_64): ctmcd_1.4.4.tgz |
Old sources: | ctmcd archive |
Reverse suggests: | markovchain |
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