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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).

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling linux/jammy R-4.5 SIMEXBoost_0.2.0.tar.gz 48.1 KiB
0.2.0 rolling linux/noble R-4.5 SIMEXBoost_0.2.0.tar.gz 48.0 KiB
0.2.0 rolling source/ R- SIMEXBoost_0.2.0.tar.gz 7.1 KiB
0.2.0 latest linux/jammy R-4.5 SIMEXBoost_0.2.0.tar.gz 48.1 KiB
0.2.0 latest linux/noble R-4.5 SIMEXBoost_0.2.0.tar.gz 48.0 KiB
0.2.0 latest source/ R- SIMEXBoost_0.2.0.tar.gz 7.1 KiB
0.2.0 2026-04-26 source/ R- SIMEXBoost_0.2.0.tar.gz 7.1 KiB
0.2.0 2026-04-23 source/ R- SIMEXBoost_0.2.0.tar.gz 7.1 KiB
0.2.0 2026-04-09 windows/windows R-4.5 SIMEXBoost_0.2.0.zip 50.8 KiB
0.2.0 2025-04-20 source/ R- SIMEXBoost_0.2.0.tar.gz 7.1 KiB

Dependencies (latest)

Imports