bujar: Buckley-James Regression for Survival Data with High-Dimensional Covariates

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.

Install the latest version of this package by entering the following in R:
install.packages("bujar")
AuthorZhu Wang and others (see COPYRIGHTS)
Date of publication2015-12-19 16:15:19
MaintainerZhu Wang <zwang@connecticutchildrens.org>
LicenseGPL-2
Version0.2-1

View on CRAN

Files

inst
inst/COPYRIGHTS
inst/doc
inst/doc/dlbcl.pdf
inst/doc/dlbcl_raw.R
inst/doc/dlbcl.Rnw
inst/doc/static_dlbcl.pdf.asis
inst/doc/dlbcl.R
inst/doc/static_dlbcl.pdf
NAMESPACE
NEWS
data
data/chop.rda
data/datalist
data/rchop.rda
R
R/fpartial.R R/predval.R R/bjboost.R R/mypartialPlot.R R/gamplot_out.R R/cvmboost.R R/rif.R R/bujar.R R/vimpint.R R/bstfit.R R/gcv_enet.R R/interactions.R R/important_inter.R
vignettes
vignettes/dlbcl.Rnw
vignettes/bujar.bib
vignettes/static_dlbcl.pdf.asis
MD5
build
build/vignette.rds
DESCRIPTION
man
man/rchop.Rd man/bujar.Rd man/bujar-internal.Rd man/bujar-package.Rd man/chop.Rd
.Rinstignore

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.