Package: classifierplots
Title: Generates a Visualization of Classifier Performance as a Grid of
        Diagnostic Plots
Version: 1.4.0
Authors@R: c(
  person("Aaron", "Defazio", email = "aaron.defazio@gmail.com", role = c("aut", "cre")),
  person("Huw", "Campbell", email = "huw.campbell@ambiata.com", role = c("aut")))
Description: 
  Generates a visualization of binary classifier performance as a grid of
  diagnostic plots with just one function call. Includes ROC curves,
  prediction density, accuracy, precision, recall and calibration plots, all using
  ggplot2 for easy modification.
  Debug your binary classifiers faster and easier!
Depends: R (>= 3.1), ggplot2 (>= 2.2), data.table (>= 1.10),
Imports: Rcpp (>= 0.12), grid, ROCR, caret, gridExtra (>= 2.2), stats,
        utils, png,
Suggests: testthat,
License: BSD 3-clause License + file LICENSE
Encoding: UTF-8
BugReports: https://github.com/adefazio/classifierplots/issues
URL: https://github.com/adefazio/classifierplots
LazyData: true
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2020-10-12 15:27:37 UTC; adefazio
Author: Aaron Defazio [aut, cre],
  Huw Campbell [aut]
Maintainer: Aaron Defazio <aaron.defazio@gmail.com>
Repository: CRAN
Date/Publication: 2020-10-13 23:40:06 UTC
Built: R 4.6.0; ; 2026-04-25 13:37:57 UTC; unix
