SemiMarkov
Multi-States Semi-Markov Models
Functions for fitting multi-state semi-Markov models to longitudinal data. A parametric maximum likelihood estimation method adapted to deal with Exponential, Weibull and Exponentiated Weibull distributions is considered. Right-censoring can be taken into account and both constant and time-varying covariates can be included using a Cox proportional model. Reference: A. Krol and P. Saint-Pierre (2015) <doi:10.18637/jss.v066.i06>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.4.6 |
rolling linux/jammy R-4.5 | SemiMarkov_1.4.6.tar.gz |
232.0 KiB |
1.4.6 |
rolling linux/noble R-4.5 | SemiMarkov_1.4.6.tar.gz |
232.0 KiB |
1.4.6 |
rolling source/ R- | SemiMarkov_1.4.6.tar.gz |
46.3 KiB |
1.4.6 |
latest linux/jammy R-4.5 | SemiMarkov_1.4.6.tar.gz |
232.0 KiB |
1.4.6 |
latest linux/noble R-4.5 | SemiMarkov_1.4.6.tar.gz |
232.0 KiB |
1.4.6 |
latest source/ R- | SemiMarkov_1.4.6.tar.gz |
46.3 KiB |
1.4.6 |
2026-04-26 source/ R- | SemiMarkov_1.4.6.tar.gz |
46.3 KiB |
1.4.6 |
2026-04-23 source/ R- | SemiMarkov_1.4.6.tar.gz |
46.3 KiB |
1.4.6 |
2026-04-09 windows/windows R-4.5 | SemiMarkov_1.4.6.zip |
235.4 KiB |
1.4.6 |
2025-04-20 source/ R- | SemiMarkov_1.4.6.tar.gz |
46.3 KiB |