accuracylevel: Robust Accuracy-Level Metrics for Predictive Model Evaluation

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

Documentation:

Reference manual:	accuracylevel.html , accuracylevel.pdf
Vignettes:	Replicating Agustini et al. (2026) with accuracylevel (source, R code)

Downloads:

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: not available
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=accuracylevel to link to this page.