Binary package “r-cran-msm” in ubuntu lunar
GNU R Multi-state Markov and hidden Markov models in continuous time
Functions for fitting general continuous-time Markov and hidden Markov
multi-state models to longitudinal data. Both Markov transition rates and the
hidden Markov output process can be modelled in terms of covariates. A variety
of observation schemes are supported, including processes observed at arbitrary
times, completely-observed processes, and censored states.
Source package
Published versions
- r-cran-msm 1.6.9-1 in amd64 (Release)
- r-cran-msm 1.7-1 in amd64 (Proposed)
- r-cran-msm 1.7-1 in amd64 (Release)
- r-cran-msm 1.6.9-1 in arm64 (Release)
- r-cran-msm 1.7-1 in arm64 (Proposed)
- r-cran-msm 1.7-1 in arm64 (Release)
- r-cran-msm 1.6.9-1 in armhf (Release)
- r-cran-msm 1.7-1 in armhf (Proposed)
- r-cran-msm 1.7-1 in armhf (Release)
- r-cran-msm 1.6.9-1 in ppc64el (Release)
- r-cran-msm 1.7-1 in ppc64el (Proposed)
- r-cran-msm 1.7-1 in ppc64el (Release)
- r-cran-msm 1.6.9-1 in riscv64 (Release)
- r-cran-msm 1.7-1 in riscv64 (Proposed)
- r-cran-msm 1.7-1 in riscv64 (Release)
- r-cran-msm 1.6.9-1 in s390x (Release)
- r-cran-msm 1.7-1 in s390x (Proposed)
- r-cran-msm 1.7-1 in s390x (Release)
