CRAN
AROC 1.0
Covariate-Adjusted Receiver Operating Characteristic Curve Inference
Released Jun 10, 2018 by Maria Xose Rodriguez-Alvarez
This package cannot yet be used with Renjin because there was a problem building the package using Renjin's toolchain. View Build Log
Dependencies
moments 0.14 MASS 7.3-50 Hmisc 4.1-1 np 0.60-8 Matrix 1.2-14
Estimates the covariate-adjusted Receiver Operating Characteristic (AROC) curve and pooled (unadjusted) ROC curve by different methods. Inacio de Carvalho, V., and Rodriguez-Alvarez, M. X. (2018)
Test Results
This package was last tested against Renjin 0.9.2689 on Aug 26, 2018.
- AROC.bnp-examples
- AROC.bsp-examples
- AROC.kernel-examples
- AROC.sp-examples
- compute.threshold.AROC.bnp-examples
- compute.threshold.AROC.bsp-examples
- compute.threshold.AROC.kernel-examples
- compute.threshold.AROC.sp-examples
- plot.AROC-examples
- pooledROC.BB-examples
- pooledROC.emp-examples
- predictive.checks.AROC.bnp-examples
- predictive.checks.AROC.bsp-examples
- print.AROC-examples
- psa-examples
- summary.AROC-examples