Implements novel accuracy-level metrics for evaluating continuous data prediction models. Four metrics are provided: Counted Squared Error (CSE), Counted Absolute Error (CAE), Counted Absolute Percentage Error (CAPE), and Symmetric Counted Absolute Percentage Error (SCAPE). These metrics offer robust, consistent, and interpretable evaluation on a 0-100% scale, addressing limitations of conventional metrics like RMSE, MAE, and MAPE. The package integrates with 'caret', 'tidymodels', and common forecasting frameworks. Based on Agustini, Fithriasari, and Prastyo (2026) <doi:10.1016/j.dajour.2025.100661>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | stats, graphics, utils |
| Suggests: | rlang (≥ 0.4.0), caret, yardstick, forecast, testthat (≥ 3.0.0), knitr, rmarkdown, ggplot2, tibble, dplyr |
| Published: | 2026-06-18 |
| DOI: | 10.32614/CRAN.package.accuracylevel |
| Author: | Achmad Syahrul Choir [cre, aut], Mety Agustini [aut], Kartika Fithriasari [aut], Dedy Dwi Prastyo [aut] |
| Maintainer: | Achmad Syahrul Choir <madsyair at stis.ac.id> |
| BugReports: | https://github.com/madsyair/accuracylevel/issues |
| License: | GPL-3 |
| URL: | https://github.com/madsyair/accuracylevel |
| NeedsCompilation: | no |
| Materials: | README, NEWS |
| CRAN checks: | accuracylevel results |
| Reference manual: | accuracylevel.html , accuracylevel.pdf |
| Vignettes: |
Replicating Agustini et al. (2026) with accuracylevel (source, R code) |
| Package source: | accuracylevel_0.1.0.tar.gz |
| Windows binaries: | r-devel: accuracylevel_0.1.0.zip, r-release: accuracylevel_0.1.0.zip, r-oldrel: accuracylevel_0.1.0.zip |
| macOS binaries: | r-release (arm64): accuracylevel_0.1.0.tgz, r-oldrel (arm64): accuracylevel_0.1.0.tgz, r-release (x86_64): accuracylevel_0.1.0.tgz, r-oldrel (x86_64): accuracylevel_0.1.0.tgz |
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