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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