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SIMEXBoost (version 0.2.0)

Boosting Method for High-Dimensional Error-Prone Data

Description

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) and the accelerated failure time (AFT) model in Chen and Qiu (2023) . Some relevant references include Chen and Yi (2021) and Hastie, Tibshirani, and Friedman (2008, ISBN:978-0387848570).

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Version

Install

install.packages('SIMEXBoost')

Monthly Downloads

182

Version

0.2.0

License

GPL-2

Maintainer

Bangxu Qiu

Last Published

November 16th, 2023

Functions in SIMEXBoost (0.2.0)

Boost_VSE

Boosting Method for Variable Selection and Estimation
SIMEXBoost-package

Boosting Method for High-Dimensional Error-Prone Data
ME_Data

Boosting Method for High-Dimensional Error-Prone Data
SIMEXBoost

Boosting Method with SIMEX Correction for High-Dimensional Error-Prone Data