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:Aurelie Bertrand, Catherine Legrand, Ingrid Van Keilegom

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'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 5 scripts 166 downloads 2 mentions 2 exports 8 dependencies

Last updated 4 years agofrom:5144101cae. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-linuxOKOct 28 2024

Exports:PTCMestimBFPTCMestimSIMEX

Dependencies:distrlatticeMASSMatrixnleqslvsfsmiscstartupmsgsurvival

Readme and manuals

Help Manual

Help pageTopics
Promotion Time Cure Model with Mis-Measured CovariatesmiCoPTCM-package miCoPTCM
Corrected score approachprint.PTCMestimBF print.summary.PTCMestimBF PTCMestimBF PTCMestimBF.default PTCMestimBF.formula summary.PTCMestimBF
SIMEX approachprint.PTCMestimSIMEX print.summary.PTCMestimSIMEX PTCMestimSIMEX PTCMestimSIMEX.default PTCMestimSIMEX.formula summary.PTCMestimSIMEX