Package: survivalROC 1.0.3.1

survivalROC: Time-Dependent ROC Curve Estimation from Censored Survival Data

Compute time-dependent ROC curve from censored survival data using Kaplan-Meier (KM) or Nearest Neighbor Estimation (NNE) method of Heagerty, Lumley & Pepe (Biometrics, Vol 56 No 2, 2000, PP 337-344).

Authors:Patrick J. Heagerty <[email protected]>, packaging by Paramita Saha-Chaudhuri <[email protected]>

survivalROC_1.0.3.1.tar.gz
survivalROC_1.0.3.1.zip(r-4.7-x86_64)survivalROC_1.0.3.1.zip(r-4.7-arm64)survivalROC_1.0.3.1.zip(r-4.6-x86_64)survivalROC_1.0.3.1.zip(r-4.6-arm64)survivalROC_1.0.3.1.zip(r-4.5-x86_64)
survivalROC_1.0.3.1.tgz(r-4.6-x86_64)survivalROC_1.0.3.1.tgz(r-4.6-arm64)survivalROC_1.0.3.1.tgz(r-4.5-x86_64)survivalROC_1.0.3.1.tgz(r-4.5-arm64)
survivalROC_1.0.3.1.tar.gz(r-4.7-arm64)survivalROC_1.0.3.1.tar.gz(r-4.7-x86_64)survivalROC_1.0.3.1.tar.gz(r-4.6-arm64)survivalROC_1.0.3.1.tar.gz(r-4.6-x86_64)
survivalROC_1.0.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
survivalROC/json (API)

# Install 'survivalROC' in R:
install.packages('survivalROC', repos = c('https://paramita-sc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • mayo - Mayo Marker data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.63 score 6 stars 17 packages 448 scripts 3.1k downloads 479 mentions 2 exports 0 dependencies

Last updated from:f90d322795. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK76
linux-devel-x86_64OK85
source / vignettesOK115
linux-release-arm64OK68
linux-release-x86_64OK85
macos-release-arm64OK103
macos-release-x86_64OK234
macos-oldrel-arm64OK153
macos-oldrel-x86_64OK246
windows-devel-arm64OK344
windows-devel-x86_64OK101
windows-release-arm64OK442
windows-release-x86_64OK63
windows-oldrel-x86_64OK62
wasm-releaseOK69

Exports:survivalROCsurvivalROC.C

Dependencies: