| Name : R-ggscidca
| |
| Version : 0.2.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.2.1
| Date : 2024-06-07 22:38:59
|
| Group : Development/Libraries/Other
| Source RPM : R-ggscidca-0.2.3-lp154.2.1.src.rpm
|
| Size : 0.22 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Plotting Decision Curve Analysis with Coloured Bars
|
Description :
Decision curve analysis is a method for evaluating and comparing
prediction models that incorporates clinical consequences, requires
only the data set on which the models are tested, and can be applied to
models that have either continuous or dichotomous results. The
\'ggscidca\' package adds coloured bars of discriminant relevance to the
traditional decision curve. Improved practicality and aesthetics. This
method was described by Balachandran VP (2015)
< doi:10.1016/S1470-2045(14)71116-7>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
