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 _______________________________________________ R-packages mailing list R-packages@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.