ROCpsych: Compute and Compare Diagnostic Test Statistics Across Groups
Functions for (1) computing diagnostic test statistics (sensitivity, specificity, etc.) from confusion matrices with adjustment for various base rates or known prevalence based on McCaffrey et al (2003) <doi:10.1007/978-1-4615-0079-7_1>, (2) computing optimal cut-off scores with different criteria including maximizing sensitivity, maximizing specificity, and maximizing the Youden Index from Youden (1950) <https://acsjournals.onlinelibrary.wiley.com/doi/abs/10.1002/1097-0142%281950%293%3A1%3C32%3A%3AAID-CNCR2820030106%3E3.0.CO%3B2-3>, and (3) displaying and comparing classification statistics and area under the receiver operating characteristic (ROC) curves or area under the curves (AUC) across consecutive categories for ordinal variables.
| Version: |
1.3 |
| Depends: |
R (≥ 3.5.0), reportROC, pROC, stats |
| Published: |
2020-08-17 |
| DOI: |
10.32614/CRAN.package.ROCpsych |
| Author: |
Shenghai Dai [aut, cre],
Olasunkanmi J. Kehinde [aut],
Maureen Schmitter-Edgecombe [aut],
Brian F. French [aut] |
| Maintainer: |
Shenghai Dai <s.dai at wsu.edu> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
no |
| CRAN checks: |
ROCpsych results |
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