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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-1.8.1-r44h05aa911_0.conda  10 months and 8 days ago 172 main
conda 1.5 MB | win-64/r-msm-1.8.1-r43h05aa911_0.conda  10 months and 8 days ago 179 main
conda 1.5 MB | osx-64/r-msm-1.8.1-r43h365c625_0.conda  10 months and 8 days ago 140 main
conda 1.5 MB | osx-arm64/r-msm-1.8.1-r44h0b3f41d_0.conda  10 months and 8 days ago 164 main
conda 1.5 MB | osx-arm64/r-msm-1.8.1-r43h0b3f41d_0.conda  10 months and 8 days ago 160 main
conda 1.5 MB | osx-64/r-msm-1.8.1-r44h365c625_0.conda  10 months and 8 days ago 137 main
conda 1.5 MB | linux-64/r-msm-1.8.1-r43h02ebe12_0.conda  10 months and 8 days ago 925 main
conda 1.5 MB | linux-64/r-msm-1.8.1-r44h02ebe12_0.conda  10 months and 8 days ago 920 main

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