Package: SIMEXBoost 0.2.0
Bangxu Qiu
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).
Authors:
SIMEXBoost_0.2.0.tar.gz
SIMEXBoost_0.2.0.tar.gz(r-4.7-any)SIMEXBoost_0.2.0.tar.gz(r-4.6-any)
SIMEXBoost_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SIMEXBoost/json (API)
| # Install 'SIMEXBoost' in R: |
| install.packages('SIMEXBoost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:175d054d5e. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 98 | ||
| source / vignettes | OK | 151 | ||
| linux-release-x86_64 | OK | 106 | ||
| wasm-release | OK | 100 |
Exports:Boost_VSEME_DataSIMEXBoost
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Boosting Method for High-Dimensional Error-Prone Data | SIMEXBoost-package |
| Boosting Method for Variable Selection and Estimation | Boost_VSE |
| Boosting Method for High-Dimensional Error-Prone Data | ME_Data |
| Boosting Method with SIMEX Correction for High-Dimensional Error-Prone Data | SIMEXBoost |