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Functions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.

Type Size Name Uploaded Downloads Labels
conda 1.4 MB | linux-64/r-msm-1.6.7-r351h96ca727_0.tar.bz2  6 years and 1 month ago 456 main
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h46e59ec_0.tar.bz2  6 years and 1 month ago 4304 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_4.tar.bz2  6 years and 2 months ago 446 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_4.tar.bz2  6 years and 2 months ago 222 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_3.tar.bz2  6 years and 4 months ago 4281 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_3.tar.bz2  6 years and 5 months ago 462 main gcc7
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_3.tar.bz2  6 years and 5 months ago 269 main gcc7
conda 1.4 MB | linux-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 7 months ago 486 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 7 months ago 586 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 7 months ago 281 main cf201901
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 7 months ago 222 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341_1.tar.bz2  6 years and 11 months ago 327 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  7 years and 3 days ago 508 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  7 years and 3 days ago 222 main cf201901

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