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 (ultra)high-dimensional data subject to measurement error in predictors. Some relevant references include Chen, L.-P. and Yi, G. Y. (2021) <doi:10.1111/biom.13331>, Hastie, T., Tibshirani, R. and Friedman, J. (2008, ISBN:978-0387848570), and Yi, G. Y. (2017, ISBN:978-1493966387).

Version:	0.1.0
Imports:	MASS
Published:	2022-02-03
Author:	Bangxu Qiu and Li-Pang Chen
Maintainer:	Bangxu Qiu <qiubangxu at gmail.com>
License:	GPL-2
NeedsCompilation:	yes
CRAN checks:	SIMEXBoost results

Documentation:

Reference manual:

SIMEXBoost.pdf

Downloads:

Package source:	SIMEXBoost_0.1.0.tar.gz
Windows binaries:	r-devel: SIMEXBoost_0.1.0.zip, r-release: SIMEXBoost_0.1.0.zip, r-oldrel: SIMEXBoost_0.1.0.zip
macOS binaries:	r-release (arm64): SIMEXBoost_0.1.0.tgz, r-oldrel (arm64): SIMEXBoost_0.1.0.tgz, r-release (x86_64): SIMEXBoost_0.1.0.tgz, r-oldrel (x86_64): SIMEXBoost_0.1.0.tgz

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