Package: rolr 1.0.0

rolr: Finding Optimal Three-Group Splits Based on a Survival Outcome

Provides fast procedures for exploring all pairs of cutpoints of a single covariate with respect to survival and determining optimal cutpoints using a hierarchical method and various ordered logrank tests.

Authors:Pingping Qu and John Crowley

rolr_1.0.0.tar.gz
rolr_1.0.0.zip(r-4.7)rolr_1.0.0.zip(r-4.6)rolr_1.0.0.zip(r-4.5)
rolr_1.0.0.tgz(r-4.6-any)rolr_1.0.0.tgz(r-4.5-any)
rolr_1.0.0.tar.gz(r-4.7-any)rolr_1.0.0.tar.gz(r-4.6-any)
rolr_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
rolr/json (API)

# Install 'rolr' in R:
install.packages('rolr', repos = c('https://quping16.r-universe.dev', '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.

1.18 score 15 scripts 603 downloads 5 exports 3 dependencies

Last updated from:15f1418071. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK134
linux-release-x86_64OK117
macos-release-arm64OK117
macos-oldrel-arm64OK127
windows-develOK95
windows-releaseOK94
windows-oldrelOK71
wasm-releaseOK103

Exports:rhierrlrrmolrrsolr12simdata

Dependencies:latticeMatrixsurvival