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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 11 months ago 1399 main cf202003
conda 1.5 MB | win-64/r-msm-1.6.7-r36hda5aaf8_1.tar.bz2  5 years and 11 months ago 1357 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r35h159158b_1.tar.bz2  5 years and 11 months ago 359 main cf202003
conda 1.4 MB | osx-64/r-msm-1.6.7-r36h159158b_1.tar.bz2  5 years and 11 months ago 352 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r35hcdcec82_1.tar.bz2  5 years and 11 months ago 4139 main cf202003
conda 1.4 MB | linux-64/r-msm-1.6.7-r36hcdcec82_1.tar.bz2  5 years and 11 months ago 4204 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 4422 main cf202003

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