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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  5 years and 9 months ago 423 main
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h46e59ec_0.tar.bz2  5 years and 9 months ago 4185 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_4.tar.bz2  5 years and 10 months ago 411 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_4.tar.bz2  5 years and 10 months ago 213 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_3.tar.bz2  6 years and 3 days ago 4163 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_3.tar.bz2  6 years and 1 month ago 427 main gcc7
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_3.tar.bz2  6 years and 1 month ago 259 main gcc7
conda 1.4 MB | linux-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 2 months ago 445 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 2 months ago 544 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 3 months ago 271 main cf201901
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 3 months ago 213 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341_1.tar.bz2  6 years and 7 months ago 317 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  6 years and 7 months ago 470 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  6 years and 7 months ago 212 main cf201901

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