Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data R package ctmcd version 1.4.4 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. Software Imports: Rcpp (>= 1.0.12), coda, expm, numDeriv LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, R.rsp Marius Pfeuffer <marius.pfeuffer@fau.de> Comprehensive R Archive Network (CRAN) Marius Pfeuffer [aut, cre], Greig Smith [ctb], Goncalo dos Reis [ctb], Linda Moestel [ctb], Matthias Fischer [ctb] GPL-3 2024-02-09 application/tgz https://CRAN.R-project.org/package=ctmcd doi:10.32614/CRAN.package.ctmcd