| Name : R-ROCket
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.13
| Date : 2024-06-14 11:16:48
|
| Group : Development/Libraries/Other
| Source RPM : R-ROCket-1.0.1-lp153.1.13.src.rpm
|
| Size : 0.13 MB
| |
| Packager : (none)
| |
| Summary : Simple and Fast ROC Curves
|
Description :
A set of functions for receiver operating characteristic (ROC) curve
estimation and area under the curve (AUC) calculation. All functions
are designed to work with aggregated data; nevertheless, they can also
handle raw samples. In \'ROCket\', we distinguish two types of ROC curve
representations: 1) parametric curves - the true positive rate (TPR)
and the false positive rate (FPR) are functions of a parameter (the
score), 2) functions - TPR is a function of FPR. There are several ROC
curve estimation methods available. An introduction to the mathematical
background of the implemented methods (and much more) can be found in
de Zea Bermudez, Gonçalves, Oliveira & Subtil (2014)
< https://www.ine.pt/revstat/pdf/rs140101.pdf> and Cai & Pepe (2004)
< doi:10.1111/j.0006-341X.2004.00200.x>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
