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 = 'https://cloud.r-project.org')

On CRAN:

Conda:

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

1.00 score 171 downloads 3 exports 1 dependencies

Last updated 1 years agofrom:175d054d5e. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-linuxOKMar 11 2025

Exports:Boost_VSEME_DataSIMEXBoost

Dependencies:MASS

Citation

To cite package ‘SIMEXBoost’ in publications use:

Qiu B, Chen L (2023). SIMEXBoost: Boosting Method for High-Dimensional Error-Prone Data. R package version 0.2.0, https://CRAN.R-project.org/package=SIMEXBoost.

Corresponding BibTeX entry: 

  @Manual{,
    title = {SIMEXBoost: Boosting Method for High-Dimensional
      Error-Prone Data},
    author = {Bangxu Qiu and Li-Pang Chen},
    year = {2023},
    note = {R package version 0.2.0},
    url = {https://CRAN.R-project.org/package=SIMEXBoost},
  }