SIMEXBoost: Boosting Method for High-Dimensional Error-Prone Data

Implementation of the boosting procedure with the simulation and extrapolation approach to address variable selection and estimation for high-dimensional data subject to measurement error in predictors. It can be used to address generalized linear models (GLM) in Chen (2023) <doi:10.1007/s11222-023-10209-3> and the accelerated failure time (AFT) model in Chen and Qiu (2023) <doi:10.1111/biom.13898>. Some relevant references include Chen and Yi (2021) <doi:10.1111/biom.13331> and Hastie, Tibshirani, and Friedman (2008, ISBN:978-0387848570).

Version: 0.2.0
Imports: MASS
Published: 2023-11-16
DOI: 10.32614/CRAN.package.SIMEXBoost
Author: Bangxu Qiu [aut, cre], Li-Pang Chen [aut]
Maintainer: Bangxu Qiu <1135427976 at qq.com>
License: GPL-2
NeedsCompilation: yes
CRAN checks: SIMEXBoost results

Documentation:

Reference manual: SIMEXBoost.pdf

Downloads:

Package source: SIMEXBoost_0.2.0.tar.gz
Windows binaries: r-devel: SIMEXBoost_0.2.0.zip, r-release: SIMEXBoost_0.2.0.zip, r-oldrel: SIMEXBoost_0.2.0.zip
macOS binaries: r-release (arm64): SIMEXBoost_0.2.0.tgz, r-oldrel (arm64): SIMEXBoost_0.2.0.tgz, r-release (x86_64): SIMEXBoost_0.2.0.tgz, r-oldrel (x86_64): SIMEXBoost_0.2.0.tgz
Old sources: SIMEXBoost archive

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