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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  6 years and 30 days ago 1402 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r36hda5aaf8_1.tar.bz2  6 years and 30 days ago 1360 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r35h159158b_1.tar.bz2  6 years and 30 days ago 360 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r36h159158b_1.tar.bz2  6 years and 30 days ago 354 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r35hcdcec82_1.tar.bz2  6 years and 30 days ago 4222 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r36hcdcec82_1.tar.bz2  6 years and 30 days ago 4278 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h159158b_0.tar.bz2  6 years and 3 months ago 381 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r351h6115d3f_0.tar.bz2  6 years and 3 months ago 1503 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r351hcdcec82_0.tar.bz2  6 years and 3 months ago 4503 main cf202003

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