| Name : R-prognosticROC
| |
| Version : 0.7
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:12:14
|
| Group : Development/Libraries/Other
| Source RPM : R-prognosticROC-0.7-lp153.2.13.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Prognostic ROC curves for evaluating the predictive capacity of a binary test
|
Description :
Prognostic ROC curve is an alternative graphical approach to represent
the discriminative capacity of the marker: a receiver operating
characteristic (ROC) curve by plotting 1 minus the survival in the
high-risk group against 1 minus the survival in the low-risk group.
This package contains functions to assess prognostic ROC curve. The
user can enter the survival according to a model previously estimated
or the user can also enter individual survival data for estimating the
prognostic ROC curve by using Kaplan-Meier estimator. The area under
the curve (AUC) corresponds to the probability that a patient in the
low-risk group has a longer lifetime than a patient in the high-risk
group. The prognostic ROC curve provides complementary information
compared to survival curves. The AUC is assessed by using the
trapezoidal rules. When survival curves do not reach 0, the prognostic
ROC curve is incomplete and the extrapolations of the AUC are performed
by assuming pessimist, optimist and non-informative situations.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
