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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 3 months ago 1386 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r36hda5aaf8_1.tar.bz2  5 years and 3 months ago 1345 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r35h159158b_1.tar.bz2  5 years and 3 months ago 353 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r36h159158b_1.tar.bz2  5 years and 3 months ago 347 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r35hcdcec82_1.tar.bz2  5 years and 3 months ago 3462 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r36hcdcec82_1.tar.bz2  5 years and 3 months ago 3516 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h159158b_0.tar.bz2  5 years and 5 months ago 374 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r351h6115d3f_0.tar.bz2  5 years and 5 months ago 1486 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r351hcdcec82_0.tar.bz2  5 years and 5 months ago 3741 main cf202003

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