pROC (1.5.4)
display and analyze ROC curves.
http://expasy.org/tools/pROC/
http://cran.r-project.org/web/packages/pROC
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Maintainer:
Xavier Robin
Author(s): Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus Müller
License: GPL (>= 3)
Uses: plyr, logcondens, MASS
Reverse depends: biomod2, caret, RcmdrPlugin.EZR
Reverse suggests: caret, waffect
Released 8 months ago.
11 previous versions
- pROC_1.5.1. Released about 1 year ago.
- pROC_1.5. Released over 1 year ago.
- pROC_1.4.4. Released almost 2 years ago.
- pROC_1.4.3. Released about 2 years ago.
- pROC_1.4.2. Released about 2 years ago.
- pROC_1.4.1. Released over 2 years ago.
- pROC_1.4. Released over 2 years ago.
- pROC_1.3.2. Released over 2 years ago.
- pROC_1.3.1. Released almost 3 years ago.
- pROC_1.3. Released almost 3 years ago.
- pROC_1.2.1. Released about 3 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of pROC yet. Want to be the first? Write one now.
Related packages: … (20 best matches, based on common tags.)
Search for pROC on google, google scholar, r-help, r-devel.
Visit pROC on R Graphical Manual.
