Package: p3state.msm 1.3.2
Luis Meira-Machado
p3state.msm: Analyzing Survival Data from an Illness-Death Model
Contains functions for data preparation, prediction of transition probabilities, estimating semi-parametric regression models and for implementing nonparametric estimators for other quantities. See Meira-Machado and Roca-Pardiñas (2011) <doi:10.18637/jss.v038.i03>.
Authors:
p3state.msm_1.3.2.tar.gz
p3state.msm_1.3.2.tar.gz(r-4.5-noble)p3state.msm_1.3.2.tar.gz(r-4.4-noble)
p3state.msm_1.3.2.tgz(r-4.4-emscripten)p3state.msm_1.3.2.tgz(r-4.3-emscripten)
p3state.msm.pdf |p3state.msm.html✨
p3state.msm/json (API)
NEWS
| # Install 'p3state.msm' in R: |
| install.packages('p3state.msm', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- heart2 - More Stanford heart transplant data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:d254f5bec5. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 20 2024 |
| R-4.5-linux | OK | Aug 20 2024 |
Exports:Bivdata.creation.regp3statepLIDAplot.p3statesummary.p3state
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Analyzing survival data from an illness-death model | p3state.msm-package p3state.msm |
| Bivariate distribution function | Biv |
| Regression dataset | data.creation.reg |
| More Stanford heart transplant data | heart2 |
| Inference in progressive multi-state models with three states | p3state |
| Transition probabilities | pLIDA |
| Plot Method for an p3state object | plot.p3state |
| Summary Methods for an p3state Object | summary.p3state |