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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  9 months and 17 days ago 173 main
conda 1.5 MB | osx-arm64/r-msm-1.8.2-r43h9f6b65f_0.conda  9 months and 17 days ago 158 main
conda 1.5 MB | osx-arm64/r-msm-1.8.2-r44h9f6b65f_0.conda  9 months and 17 days ago 165 main
conda 1.5 MB | win-64/r-msm-1.8.2-r43h05aa911_0.conda  9 months and 17 days ago 182 main
conda 1.5 MB | osx-64/r-msm-1.8.2-r44hf3bc17b_0.conda  9 months and 17 days ago 152 main
conda 1.5 MB | osx-64/r-msm-1.8.2-r43hf3bc17b_0.conda  9 months and 17 days ago 152 main
conda 1.5 MB | linux-64/r-msm-1.8.2-r44h02ebe12_0.conda  9 months and 17 days ago 1024 main
conda 1.5 MB | linux-64/r-msm-1.8.2-r43h02ebe12_0.conda  9 months and 17 days ago 948 main

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