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-4.5)survivalROC_1.0.3.1.zip(r-4.4)survivalROC_1.0.3.1.zip(r-4.3)
survivalROC_1.0.3.1.tgz(r-4.4-x86_64)survivalROC_1.0.3.1.tgz(r-4.4-arm64)survivalROC_1.0.3.1.tgz(r-4.3-x86_64)survivalROC_1.0.3.1.tgz(r-4.3-arm64)
survivalROC_1.0.3.1.tar.gz(r-4.5-noble)survivalROC_1.0.3.1.tar.gz(r-4.4-noble)
survivalROC_1.0.3.1.tgz(r-4.4-emscripten)survivalROC_1.0.3.1.tgz(r-4.3-emscripten)
survivalROC.pdf |survivalROC.html✨
survivalROC/json (API)

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

Peer review:

Datasets:
  • mayo - Mayo Marker data

On CRAN:

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

6.27 score 6 stars 15 packages 247 scripts 2.8k downloads 479 mentions 2 exports 0 dependencies

Last updated 2 years agofrom:f90d322795. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64OKNov 14 2024
R-4.5-linux-x86_64OKNov 14 2024
R-4.4-win-x86_64OKNov 14 2024
R-4.4-mac-x86_64OKNov 14 2024
R-4.4-mac-aarch64OKNov 14 2024
R-4.3-win-x86_64OKNov 14 2024
R-4.3-mac-x86_64OKNov 14 2024
R-4.3-mac-aarch64OKNov 14 2024

Exports:survivalROCsurvivalROC.C

Dependencies: