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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:88e9bcf6e2. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 14 2024 |
R-4.5-linux-x86_64 | OK | Dec 14 2024 |
Exports:cenROCCVIntROCNRPIyouden
Dependencies:bootcodacodetoolscondSURVcubaturedigestdoParalleldoRNGforeachicenRegiteratorsKernSmoothlatticeMASSMatrixMatrixModelsMLEcensnpquadprogquantregRcppRcppEigenrngtoolsSparseMsurvival