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SIMEXBoost  

Boosting Method for High-Dimensional Error-Prone Data
View on CRAN: Click here


Download and install SIMEXBoost package within the R console
Install from CRAN:
install.packages("SIMEXBoost")

Install from Github:
library("remotes")
install_github("cran/SIMEXBoost")

Install by package version:
library("remotes")
install_version("SIMEXBoost", "0.2.0")



Attach the package and use:
library("SIMEXBoost")
Maintained by
Bangxu Qiu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-03
Latest Update: 2023-11-16
Description:
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).
How to cite:
Bangxu Qiu (2022). SIMEXBoost: Boosting Method for High-Dimensional Error-Prone Data. R package version 0.2.0, https://cran.r-project.org/web/packages/SIMEXBoost
Previous versions and publish date:
0.1.0 (2022-02-03 10:20)
Other packages that cited SIMEXBoost R package
View SIMEXBoost citation profile
Other R packages that SIMEXBoost depends, imports, suggests or enhances
Functions, R codes and Examples using the SIMEXBoost R package
Some associated functions: Boost_VSE . ME_Data . SIMEXBoost-package . SIMEXBoost . 
Some associated R codes: Boost_VSE.R . ME_Data.R . SIMEXBoost.R .  Full SIMEXBoost package functions and examples
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