Package: mccf1
Title: Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric and
        the Best Threshold
Version: 1.1
Date: 2019-11-11
Authors@R: c(person("Chang", "Cao", role = c("aut", "cre"),
                     email = "kirin.cao@mail.utoronto.ca"),
              person("Michael", "Hoffman", role = "aut", email = "michael.hoffman@utoronto.ca"),
              person("Davide", "Chicco", role = "aut",
                 email = "davide.chicco@gmail.com"))
Maintainer: Chang Cao <kirin.cao@mail.utoronto.ca>
Depends: R (>= 3.3.3), ggplot2
Imports: ROCR
Description: The MCC-F1 analysis is a method to evaluate the performance of binary classifications. 
    The MCC-F1 curve is more reliable than the Receiver Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve under imbalanced ground truth.
    The MCC-F1 analysis also provides the MCC-F1 metric that integrates classifier performance over varying thresholds, and the best threshold of binary classification.
License: GPL (>= 2)
URL: https://bitbucket.org/hoffmanlab/mccf1/
BugReports: https://stackoverflow.com/questions/tagged/mccf1
RoxygenNote: 6.0.1
NeedsCompilation: no
Packaged: 2019-11-11 20:45:39 UTC; user
Author: Chang Cao [aut, cre],
  Michael Hoffman [aut],
  Davide Chicco [aut]
Repository: CRAN
Date/Publication: 2019-11-11 21:00:03 UTC
Built: R 4.6.0; ; 2025-08-18 11:16:57 UTC; unix
