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bujar  

Buckley-James Regression for Survival Data with High-Dimensional Covariates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bujar", "0.2-11")



Attach the package and use:
library("bujar")
Maintained by
Zhu Wang
[Scholar Profile | Author Map]
First Published: 2014-05-01
Latest Update: 2023-06-25
Description:
Buckley-James regression for right-censoring survival data with high-dimensional covariates. Implementations for survival data include boosting with componentwise linear least squares, componentwise smoothing splines, regression trees and MARS. Other high-dimensional tools include penalized regression for survival data. See Wang and Wang (2010) .
How to cite:
Zhu Wang (2014). bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates. R package version 0.2-11, https://cran.r-project.org/web/packages/bujar. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.1-3 (2014-05-01 08:50), 0.1-4 (2014-06-24 19:20), 0.1-5 (2015-10-28 00:09), 0.2-1 (2015-12-19 16:15), 0.2-3 (2017-04-27 12:18), 0.2-4 (2019-01-15 18:00), 0.2-5 (2019-02-27 18:00), 0.2-7 (2019-11-12 19:00), 0.2-8 (2020-06-02 01:40), 0.2-9 (2020-10-19 23:40), 0.2-10 (2023-01-06 17:10)
Other packages that cited bujar R package
View bujar citation profile
Other R packages that bujar depends, imports, suggests or enhances
Complete documentation for bujar
Functions, R codes and Examples using the bujar R package
Some associated functions: bujar-internal . bujar . chop . rchop . 
Some associated R codes: bjboost.R . bstfit.R . bujar.R . cvmboost.R . fpartial.R . gamplot_out.R . gcv_enet.R . important_inter.R . interactions.R . mypartialPlot.R . predval.R . rif.R . vimpint.R .  Full bujar package functions and examples
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