[R-pkgs] ROCR 1.0-2

[Tobias Sing]

Dear useRs,

an update of the ROCR package is available on CRAN.

ROCR helps in evaluating the performance of scoring classifiers using
ROC graphs, precision/recall plots, lift charts and many other
performance metrics.
For further information check http://rocr.bioinf.mpi-sb.mpg.de and
http://bioinformatics.oxfordjournals.org/cgi/reprint/21/20/3940

NEWS:
- added an optional parameter 'fpr.stop' to the performance measure 'auc',
  allowing to calculate the partial area under the ROC curve
  up to the false positive rate given by 'fpr.stop'.

- fixed bug in 'prediction' function which caused ROCR to halt
  in the context of a custom label.ordering (thanks to Roberto Perdisci
  for pointing out)

As usual, any feedback is more than welcome!
- Tobias


-- 
Tobias Sing
Computational Biology and Applied Algorithmics
Max Planck Institute for Informatics
Saarbrucken, Germany
Phone: +49 681 9325 315
Fax: +49 681 9325 399
http://www.tobiassing.net