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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  19 days and 7 hours ago 20 main
conda 1.5 MB | win-64/r-msm-1.8.1-r43h05aa911_0.conda  19 days and 7 hours ago 24 main
conda 1.5 MB | osx-64/r-msm-1.8.1-r43h365c625_0.conda  19 days and 7 hours ago 18 main
conda 1.5 MB | osx-arm64/r-msm-1.8.1-r44h0b3f41d_0.conda  19 days and 7 hours ago 16 main
conda 1.5 MB | osx-arm64/r-msm-1.8.1-r43h0b3f41d_0.conda  19 days and 7 hours ago 16 main
conda 1.5 MB | osx-64/r-msm-1.8.1-r44h365c625_0.conda  19 days and 7 hours ago 19 main
conda 1.5 MB | linux-64/r-msm-1.8.1-r43h02ebe12_0.conda  19 days and 7 hours ago 112 main
conda 1.5 MB | linux-64/r-msm-1.8.1-r44h02ebe12_0.conda  19 days and 7 hours ago 85 main

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