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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 modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
| Package | Summary | Distribution | Download |
| R-msm-1.6.9-10.fc42.aarch64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora Rawhide for aarch64 | R-msm-1.6.9-10.fc42.aarch64.rpm |
| R-msm-1.6.9-10.fc42.ppc64le.html | Multi-state Markov and hidden Markov models in continuous time | Fedora Rawhide for ppc64le | R-msm-1.6.9-10.fc42.ppc64le.rpm |
| R-msm-1.6.9-10.fc42.s390x.html | Multi-state Markov and hidden Markov models in continuous time | Fedora Rawhide for s390x | R-msm-1.6.9-10.fc42.s390x.rpm |
| R-msm-1.6.9-10.fc42.x86_64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora Rawhide for x86_64 | R-msm-1.6.9-10.fc42.x86_64.rpm |
| R-msm-1.6.9-8.fc41.aarch64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 41 for aarch64 | R-msm-1.6.9-8.fc41.aarch64.rpm |
| R-msm-1.6.9-8.fc41.ppc64le.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 41 for ppc64le | R-msm-1.6.9-8.fc41.ppc64le.rpm |
| R-msm-1.6.9-8.fc41.s390x.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 41 for s390x | R-msm-1.6.9-8.fc41.s390x.rpm |
| R-msm-1.6.9-8.fc41.x86_64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 41 for x86_64 | R-msm-1.6.9-8.fc41.x86_64.rpm |
| R-msm-1.6.9-7.fc40.aarch64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 40 updates for aarch64 | R-msm-1.6.9-7.fc40.aarch64.rpm |
| R-msm-1.6.9-7.fc40.x86_64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 40 updates for x86_64 | R-msm-1.6.9-7.fc40.x86_64.rpm |
| R-msm-1.6.9-6.fc40.aarch64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 40 for aarch64 | R-msm-1.6.9-6.fc40.aarch64.rpm |
| R-msm-1.6.9-6.fc40.ppc64le.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 40 for ppc64le | R-msm-1.6.9-6.fc40.ppc64le.rpm |
| R-msm-1.6.9-6.fc40.s390x.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 40 for s390x | R-msm-1.6.9-6.fc40.s390x.rpm |
| R-msm-1.6.9-6.fc40.x86_64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 40 for x86_64 | R-msm-1.6.9-6.fc40.x86_64.rpm |
| R-msm-1.6.9-4.fc39.aarch64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 39 for aarch64 | R-msm-1.6.9-4.fc39.aarch64.rpm |
| R-msm-1.6.9-4.fc39.ppc64le.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 39 for ppc64le | R-msm-1.6.9-4.fc39.ppc64le.rpm |
| R-msm-1.6.9-4.fc39.s390x.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 39 for s390x | R-msm-1.6.9-4.fc39.s390x.rpm |
| R-msm-1.6.9-4.fc39.x86_64.html | Multi-state Markov and hidden Markov models in continuous time | Fedora 39 for x86_64 | R-msm-1.6.9-4.fc39.x86_64.rpm |
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