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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-1.8.2-r44h05aa911_0.conda  1 month and 18 days ago 27 main
conda 1.5 MB | osx-arm64/r-msm-1.8.2-r43h9f6b65f_0.conda  1 month and 18 days ago 22 main
conda 1.5 MB | osx-arm64/r-msm-1.8.2-r44h9f6b65f_0.conda  1 month and 18 days ago 21 main
conda 1.5 MB | win-64/r-msm-1.8.2-r43h05aa911_0.conda  1 month and 18 days ago 27 main
conda 1.5 MB | osx-64/r-msm-1.8.2-r44hf3bc17b_0.conda  1 month and 18 days ago 22 main
conda 1.5 MB | osx-64/r-msm-1.8.2-r43hf3bc17b_0.conda  1 month and 18 days ago 21 main
conda 1.5 MB | linux-64/r-msm-1.8.2-r44h02ebe12_0.conda  1 month and 18 days ago 182 main
conda 1.5 MB | linux-64/r-msm-1.8.2-r43h02ebe12_0.conda  1 month and 18 days ago 213 main

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