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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  6 months and 18 days ago 157 main
conda 1.5 MB | win-64/r-msm-1.8.1-r43h05aa911_0.conda  6 months and 18 days ago 165 main
conda 1.5 MB | osx-64/r-msm-1.8.1-r43h365c625_0.conda  6 months and 18 days ago 129 main
conda 1.5 MB | osx-arm64/r-msm-1.8.1-r44h0b3f41d_0.conda  6 months and 18 days ago 152 main
conda 1.5 MB | osx-arm64/r-msm-1.8.1-r43h0b3f41d_0.conda  6 months and 18 days ago 151 main
conda 1.5 MB | osx-64/r-msm-1.8.1-r44h365c625_0.conda  6 months and 18 days ago 124 main
conda 1.5 MB | linux-64/r-msm-1.8.1-r43h02ebe12_0.conda  6 months and 18 days ago 677 main
conda 1.5 MB | linux-64/r-msm-1.8.1-r44h02ebe12_0.conda  6 months and 18 days ago 654 main

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