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
| Version | Repository | File | Size |
|---|---|---|---|
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 |