Multi-state Markov and hidden Markov models in continuous time
994.48 KB
built 2026-10-13 04:13:49 GMT
Description
Functions for fitting general continuous-time Markov and hidden Markov
multi-state models to longitudinal data. Both Markov transition rates
and the hidden Markov output process can be modeled in terms of
covariates. A variety of observation schemes are supported, including
processes observed at arbitrary times, completely-observed processes,
and censored states.
Dependencies
13 totalRequires10
- R(expm)
- R(generics)
- R(mvtnorm)
- R(survival)
- R(testthat)
- R(tibble)
- R-devel
- rpmlib(CompressedFileNames) <= 3.0.4-1
- rpmlib(DynamicBuildRequires) <= 4.15.0-1
- rpmlib(FileDigests) <= 4.6.0-1
Provides3
- R-msm = 1.8.2-8.fc45
- R-msm-debuginfo = 1.8.2-8.fc45
- R-msm-debugsource = 1.8.2-8.fc45
ObsoletesNo Obsoletes
ConflictsNo Conflicts
RecommendsNo Recommends
SuggestsNo Suggests
SupplementsNo Supplements
EnhancesNo Enhances
Files
2Name  |
Size |
|---|---|
| R-msm.spec | 9.42 KB |
| msm_1.8.2.tar.gz | 972.23 KB |
Files 1–2 of 2
Component of
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