Package: miCoPTCM 1.1

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.zip(r-4.7)miCoPTCM_1.1.zip(r-4.6)miCoPTCM_1.1.zip(r-4.5)
miCoPTCM_1.1.tgz(r-4.6-any)miCoPTCM_1.1.tgz(r-4.5-any)
miCoPTCM_1.1.tar.gz(r-4.7-any)miCoPTCM_1.1.tar.gz(r-4.6-any)
miCoPTCM_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
miCoPTCM/json (API)

# Install 'miCoPTCM' in R:
install.packages('miCoPTCM', repos = c('https://aurelie-bertrand.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.78 score 1 packages 6 scripts 287 downloads 2 mentions 2 exports 8 dependencies

Last updated from:5144101cae. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK164
source / vignettesOK140
linux-release-x86_64OK128
macos-release-arm64OK208
macos-oldrel-arm64OK160
windows-develOK92
windows-releaseOK93
windows-oldrelOK87
wasm-releaseOK153

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