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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-1.6.8-r36hda5aaf8_0.tar.bz2  4 years and 10 months ago 1163 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.8-r35hda5aaf8_0.tar.bz2  4 years and 10 months ago 1132 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.8-r35h17f1fa6_0.tar.bz2  4 years and 10 months ago 334 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.8-r36h17f1fa6_0.tar.bz2  4 years and 10 months ago 339 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.8-r36hcdcec82_0.tar.bz2  4 years and 10 months ago 3076 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.8-r35hcdcec82_0.tar.bz2  4 years and 10 months ago 3041 main cf202003

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