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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 4 days ago 1399 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r36hda5aaf8_1.tar.bz2  6 years and 4 days ago 1357 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r35h159158b_1.tar.bz2  6 years and 4 days ago 359 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r36h159158b_1.tar.bz2  6 years and 4 days ago 352 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r35hcdcec82_1.tar.bz2  6 years and 4 days ago 4179 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r36hcdcec82_1.tar.bz2  6 years and 4 days ago 4236 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r351h159158b_0.tar.bz2  6 years and 2 months ago 379 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r351h6115d3f_0.tar.bz2  6 years and 2 months ago 1500 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r351hcdcec82_0.tar.bz2  6 years and 2 months ago 4459 main cf202003

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