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:Bangxu Qiu [aut, cre], Li-Pang Chen [aut]

SIMEXBoost_0.2.0.tar.gz
SIMEXBoost_0.2.0.tar.gz(r-4.5-noble)SIMEXBoost_0.2.0.tar.gz(r-4.4-noble)
SIMEXBoost_0.2.0.tgz(r-4.4-emscripten)SIMEXBoost_0.2.0.tgz(r-4.3-emscripten)
SIMEXBoost.pdf |SIMEXBoost.html
SIMEXBoost/json (API)

# Install 'SIMEXBoost' in R:
install.packages('SIMEXBoost', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 126 downloads 3 exports 1 dependencies

Last updated 1 years agofrom:175d054d5e. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 11 2024
R-4.5-linuxOKDec 11 2024

Exports:Boost_VSEME_DataSIMEXBoost

Dependencies:MASS