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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 11 months ago 442 main
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h46e59ec_0.tar.bz2  5 years and 11 months ago 4298 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_4.tar.bz2  6 years and 1 month ago 432 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_4.tar.bz2  6 years and 1 month ago 217 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_3.tar.bz2  6 years and 2 months ago 4275 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_3.tar.bz2  6 years and 3 months ago 449 main gcc7
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_3.tar.bz2  6 years and 3 months ago 263 main gcc7
conda 1.4 MB | linux-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 5 months ago 471 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 5 months ago 571 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 5 months ago 276 main cf201901
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 5 months ago 218 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341_1.tar.bz2  6 years and 9 months ago 322 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  6 years and 10 months ago 492 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  6 years and 10 months ago 217 main cf201901

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