Package: miCoPTCM 1.1
Aurelie Bertrand
miCoPTCM: Promotion Time Cure Model with Mis-Measured Covariates
Fits Semiparametric Promotion Time Cure Models, taking into account (using a corrected score approach or the SIMEX algorithm) or not the measurement error in the covariates, using a backfitting approach to maximize the likelihood.
Authors:
miCoPTCM_1.1.tar.gz
miCoPTCM_1.1.tar.gz(r-4.5-noble)miCoPTCM_1.1.tar.gz(r-4.4-noble)
miCoPTCM_1.1.tgz(r-4.4-emscripten)miCoPTCM_1.1.tgz(r-4.3-emscripten)
miCoPTCM.pdf |miCoPTCM.html✨
miCoPTCM/json (API)
| # Install 'miCoPTCM' in R: |
| install.packages('miCoPTCM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:5144101cae. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 29 2024 |
| R-4.5-linux | OK | Aug 29 2024 |
Exports:PTCMestimBFPTCMestimSIMEX
Dependencies:distrlatticeMASSMatrixnleqslvsfsmiscstartupmsgsurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Promotion Time Cure Model with Mis-Measured Covariates | miCoPTCM-package miCoPTCM |
| Corrected score approach | print.PTCMestimBF print.summary.PTCMestimBF PTCMestimBF PTCMestimBF.default PTCMestimBF.formula summary.PTCMestimBF |
| SIMEX approach | print.PTCMestimSIMEX print.summary.PTCMestimSIMEX PTCMestimSIMEX PTCMestimSIMEX.default PTCMestimSIMEX.formula summary.PTCMestimSIMEX |