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dtms: Discrete-Time Multistate Models

Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) <doi:10.1080/00324728.2023.2176535>, Dudel (2021) <doi:10.1177/0049124118782541>, Dudel & Myrskylä (2020) <doi:10.1186/s12963-020-00217-0>, van den Hout (2017) <doi:10.1201/9781315374321>.

Version: 0.4.2
Depends: R (≥ 4.1.0)
Imports: mclogit, nnet, VGAM, doParallel, foreach, markovchain, methods
Published: 2026-02-25
DOI: 10.32614/CRAN.package.dtms (may not be active yet)
Author: Christian Dudel [aut, cre]
Maintainer: Christian Dudel <dudel at demogr.mpg.de>
BugReports: https://github.com/christiandudel/dtms/issues
License: MIT + file LICENSE
URL: https://github.com/christiandudel/dtms
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: dtms results

Documentation:

Reference manual: dtms.html , dtms.pdf

Downloads:

Package source: dtms_0.4.2.tar.gz
Windows binaries: r-devel: dtms_0.4.2.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): dtms_0.4.2.tgz, r-oldrel (arm64): dtms_0.4.2.tgz, r-release (x86_64): dtms_0.4.2.tgz, r-oldrel (x86_64): dtms_0.4.2.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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