[R-pkgs] ROCR 1.0-2

Tobias Sing tobias.sing at gmail.com
Wed Jan 31 11:53:43 CET 2007

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

- 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

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