Package: hmeasure
Type: Package
Title: The H-Measure and Other Scalar Classification Performance
        Metrics
Version: 1.0-2
Date: 2019-02-26
Author: Christoforos Anagnostopoulos
    <christoforos.anagnostopoulos06@imperial.ac.uk> and David J.
    Hand <d.j.hand@imperial.ac.uk>
Depends: R (>= 2.10)
Suggests: MASS, class, testthat
Maintainer: Christoforos Anagnostopoulos
 <christoforos.anagnostopoulos06@imperial.ac.uk>
Description: Classification performance metrics that are derived from the ROC
    curve of a classifier. The package includes the H-measure performance metric
    as described in <http://link.springer.com/article/10.1007/s10994-009-5119-5>,
    which computes the minimum total misclassification cost, integrating over any
    uncertainty about the relative misclassification costs, as per a user-defined
    prior. It also offers a one-stop-shop for other scalar metrics of performance,
    including sensitivity, specificity and many others, and also offers plotting
    tools for ROC curves and related statistics.
License: MIT + file LICENSE
URL: http://www.hmeasure.net
Packaged: 2019-02-26 14:44:25 UTC; canagnos
Repository: CRAN
Date/Publication: 2019-02-26 15:10:03 UTC
RoxygenNote: 5.0.1
NeedsCompilation: no
Built: R 4.1.0; ; 2021-05-26 03:29:48 UTC; unix
