| Name : R-ROCnReg
| |
| Version : 1.0.9
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.2
| Date : 2024-06-14 11:34:25
|
| Group : Development/Libraries/Other
| Source RPM : R-ROCnReg-1.0.9-lp153.2.2.src.rpm
|
| Size : 0.68 MB
| |
| Packager : (none)
| |
| Summary : ROC Curve Inference with and without Covariates
|
Description :
Estimates the pooled (unadjusted) Receiver Operating Characteristic
(ROC) curve, the covariate-adjusted ROC (AROC) curve, and the
covariate-specific/conditional ROC (cROC) curve by different methods,
both Bayesian and frequentist. Also, it provides functions to obtain
ROC-based optimal cutpoints utilizing several criteria. Based on
Erkanli, A. et al. (2006) < doi:10.1002/sim.2496> Faraggi, D. (2003)
< doi:10.1111/1467-9884.00350> Gu, J. et al. (2008)
< doi:10.1002/sim.3366> Inacio de Carvalho, V. et al. (2013)
< doi:10.1214/13-BA825> Inacio de Carvalho, V., and Rodriguez-Alvarez,
M.X. (2022) < doi:10.1214/21-STS839> Janes, H., and Pepe, M.S. (2009)
< doi:10.1093/biomet/asp002> Pepe, M.S. (1998)
< http://www.jstor.org/stable/2534001?seq=1> Rodriguez-Alvarez, M.X. et
al. (2011a) < doi:10.1016/j.csda.2010.07.018> Rodriguez-Alvarez, M.X.
et al. (2011a) < doi:10.1007/s11222-010-9184-1>. Please see
Rodriguez-Alvarez, M.X. and Inacio, V. (2021)
< doi:10.32614/RJ-2021-066> for more details.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
