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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.

copied from cf-staging / r-msm
Type Size Name Uploaded Downloads Labels
conda 1.5 MB | win-64/r-msm-1.6.7-r35hda5aaf8_1.tar.bz2  5 years and 5 months ago 1390 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r36hda5aaf8_1.tar.bz2  5 years and 5 months ago 1349 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r35h159158b_1.tar.bz2  5 years and 5 months ago 355 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r36h159158b_1.tar.bz2  5 years and 5 months ago 348 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r35hcdcec82_1.tar.bz2  5 years and 5 months ago 3646 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r36hcdcec82_1.tar.bz2  5 years and 5 months ago 3701 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h159158b_0.tar.bz2  5 years and 7 months ago 376 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r351h6115d3f_0.tar.bz2  5 years and 7 months ago 1490 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r351hcdcec82_0.tar.bz2  5 years and 7 months ago 3931 main cf202003

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