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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-r44h05aa911_0.conda  1 month and 17 days ago 37 main
conda 1.5 MB | win-64/r-msm-1.8-r43h05aa911_0.conda  1 month and 17 days ago 38 main
conda 1.5 MB | osx-arm64/r-msm-1.8-r44h0b3f41d_0.conda  1 month and 17 days ago 20 main
conda 1.5 MB | osx-arm64/r-msm-1.8-r43h0b3f41d_0.conda  1 month and 17 days ago 25 main
conda 1.5 MB | osx-64/r-msm-1.8-r44h365c625_0.conda  1 month and 17 days ago 34 main
conda 1.5 MB | osx-64/r-msm-1.8-r43h365c625_0.conda  1 month and 17 days ago 35 main
conda 1.5 MB | linux-64/r-msm-1.8-r43h02ebe12_0.conda  1 month and 17 days ago 203 main
conda 1.5 MB | linux-64/r-msm-1.8-r44h02ebe12_0.conda  1 month and 17 days ago 186 main

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