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
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rolr.pdf |rolr.html
rolr/json (API)

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

Peer review:

On CRAN:

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 476 downloads 5 exports 3 dependencies

Last updated 8 years agofrom:15f1418071. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:rhierrlrrmolrrsolr12simdata

Dependencies:latticeMatrixsurvival