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 = '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:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 27 2025 |
R-4.5-linux | OK | Mar 27 2025 |
R-4.4-linux | OK | Mar 27 2025 |
Exports:PTCMestimBFPTCMestimSIMEX
Dependencies:distrlatticeMASSMatrixnleqslvsfsmiscstartupmsgsurvival
Citation
To cite package ‘miCoPTCM’ in publications use:
Bertrand A, Legrand C, Van Keilegom I (2020). miCoPTCM: Promotion Time Cure Model with Mis-Measured Covariates. R package version 1.1, https://CRAN.R-project.org/package=miCoPTCM.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {miCoPTCM: Promotion Time Cure Model with Mis-Measured Covariates}, author = {Aurelie Bertrand and Catherine Legrand and Ingrid {Van Keilegom}}, year = {2020}, note = {R package version 1.1}, url = {https://CRAN.R-project.org/package=miCoPTCM}, }
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 |