Package: cenROC 2.0.0

Kassu Mehari Beyene

cenROC: Estimating Time-Dependent ROC Curve and AUC for Censored Data

Contains functions to estimate a smoothed and a non-smoothed (empirical) time-dependent receiver operating characteristic curve and the corresponding area under the receiver operating characteristic curve and the optimal cutoff point for the right and interval censored survival data. See Beyene and El Ghouch (2020)<doi:10.1002/sim.8671> and Beyene and El Ghouch (2022) <doi:10.1002/bimj.202000382>.

Authors:Kassu Mehari Beyene [aut, cre], Anouar El Ghouch [aut, ths]

cenROC_2.0.0.tar.gz
cenROC_2.0.0.tar.gz(r-4.5-noble)cenROC_2.0.0.tar.gz(r-4.4-noble)
cenROC_2.0.0.tgz(r-4.4-emscripten)cenROC_2.0.0.tgz(r-4.3-emscripten)
cenROC.pdf |cenROC.html✨
cenROC/json (API)

# Install 'cenROC' in R:
install.packages('cenROC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • hds - NASA Hypobaric Decompression Sickness Marker Data
  • mayo - Mayo Marker Data

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

cpp

1.46 score 29 scripts 217 downloads 6 exports 25 dependencies

Last updated 2 years agofrom:88e9bcf6e2. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-linux-x86_64OKFeb 12 2025

Exports:cenROCCVIntROCNRPIyouden

Dependencies:bootcodacodetoolscondSURVcubaturedigestdoParalleldoRNGforeachicenRegiteratorsKernSmoothlatticeMASSMatrixMatrixModelsMLEcensnpquadprogquantregRcppRcppEigenrngtoolsSparseMsurvival