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precrec: Calculate Accurate Precision-Recall and ROC (Receiver Operator
Characteristics) Curves
Accurate calculations and visualization of precision-recall and ROC (Receiver Operator Characteristics)
curves. Saito and Rehmsmeier (2015) <doi:10.1371/journal.pone.0118432>.
| Version: |
0.14.4 |
| Depends: |
R (≥ 3.2.1) |
| Imports: |
Rcpp (≥ 1.0.0), ggplot2 (≥ 3.0.0), assertthat (≥ 0.2), grid, gridExtra (≥ 2.0.0), methods, data.table (≥ 1.10.4), withr (≥ 2.3.0), graphics (≥ 4.0.0), rlang (≥ 1.0.0) |
| LinkingTo: |
Rcpp |
| Suggests: |
testthat (≥ 3.0.0), knitr (≥ 1.11), rmarkdown (≥ 2.0), vdiffr (≥ 1.0.0), patchwork (≥ 1.1.2) |
| Published: |
2023-10-11 |
| Author: |
Takaya Saito 
[aut, cre],
Marc Rehmsmeier
[aut] |
| Maintainer: |
Takaya Saito <takaya.saito at outlook.com> |
| BugReports: |
https://github.com/evalclass/precrec/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/evalclass/precrec |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Citation: |
precrec citation info |
| Materials: |
README NEWS |
| CRAN checks: |
precrec results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=precrec
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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