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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 429 main
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h46e59ec_0.tar.bz2  5 years and 9 months ago 4198 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_4.tar.bz2  5 years and 11 months ago 418 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_4.tar.bz2  5 years and 11 months ago 214 main
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_3.tar.bz2  6 years and 27 days ago 4175 main
conda 1.4 MB | linux-64/r-msm-1.6.6-r351h96ca727_3.tar.bz2  6 years and 1 month ago 434 main gcc7
conda 1.4 MB | osx-64/r-msm-1.6.6-r351h46e59ec_3.tar.bz2  6 years and 1 month ago 261 main gcc7
conda 1.4 MB | linux-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 3 months ago 453 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 3 months ago 552 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341hc070d10_2.tar.bz2  6 years and 3 months ago 274 main cf201901
conda 1.4 MB | osx-64/r-msm-1.6.6-r351hc070d10_2.tar.bz2  6 years and 3 months ago 215 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r341_1.tar.bz2  6 years and 8 months ago 320 main cf201901
conda 1.0 MB | linux-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  6 years and 8 months ago 478 main cf201901
conda 1.0 MB | osx-64/r-msm-1.6.6-r3.4.1_0.tar.bz2  6 years and 8 months ago 214 main cf201901

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