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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 5 months ago 482 main
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h46e59ec_0.tar.bz2  6 years and 5 months ago 4329 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_4.tar.bz2  6 years and 6 months ago 473 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_4.tar.bz2  6 years and 6 months ago 231 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_3.tar.bz2  6 years and 7 months ago 4306 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_3.tar.bz2  6 years and 9 months ago 489 main gcc7
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_3.tar.bz2  6 years and 9 months ago 277 main gcc7
conda 1.4 MB | linux-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 10 months ago 540 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 10 months ago 616 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 10 months ago 290 main cf201901
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 10 months ago 232 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341_1.tar.bz2  7 years and 3 months ago 333 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  7 years and 3 months ago 536 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  7 years and 3 months ago 229 main cf201901

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