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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  3 months and 16 days ago 42 main
conda 1.5 MB | win-64/r-msm-1.8-r43h05aa911_0.conda  3 months and 16 days ago 44 main
conda 1.5 MB | osx-arm64/r-msm-1.8-r44h0b3f41d_0.conda  3 months and 16 days ago 24 main
conda 1.5 MB | osx-arm64/r-msm-1.8-r43h0b3f41d_0.conda  3 months and 16 days ago 29 main
conda 1.5 MB | osx-64/r-msm-1.8-r44h365c625_0.conda  3 months and 16 days ago 39 main
conda 1.5 MB | osx-64/r-msm-1.8-r43h365c625_0.conda  3 months and 16 days ago 39 main
conda 1.5 MB | linux-64/r-msm-1.8-r43h02ebe12_0.conda  3 months and 16 days ago 387 main
conda 1.5 MB | linux-64/r-msm-1.8-r44h02ebe12_0.conda  3 months and 16 days ago 375 main

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