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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-1.8.2-r44h05aa911_0.conda  10 months and 10 days ago 177 main
conda 1.5 MB | osx-arm64/r-msm-1.8.2-r43h9f6b65f_0.conda  10 months and 10 days ago 162 main
conda 1.5 MB | osx-arm64/r-msm-1.8.2-r44h9f6b65f_0.conda  10 months and 10 days ago 171 main
conda 1.5 MB | win-64/r-msm-1.8.2-r43h05aa911_0.conda  10 months and 10 days ago 184 main
conda 1.5 MB | osx-64/r-msm-1.8.2-r44hf3bc17b_0.conda  10 months and 10 days ago 154 main
conda 1.5 MB | osx-64/r-msm-1.8.2-r43hf3bc17b_0.conda  10 months and 10 days ago 156 main
conda 1.5 MB | linux-64/r-msm-1.8.2-r44h02ebe12_0.conda  10 months and 10 days ago 1078 main
conda 1.5 MB | linux-64/r-msm-1.8.2-r43h02ebe12_0.conda  10 months and 10 days ago 992 main

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