# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "accuracylevel" in publications use:' type: software license: GPL-3.0-only title: 'accuracylevel: Robust Accuracy-Level Metrics for Predictive Model Evaluation' version: 0.1.0 doi: 10.32614/CRAN.package.accuracylevel abstract: '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) .' authors: - family-names: Choir given-names: Achmad Syahrul email: madsyair@stis.ac.id - family-names: Agustini given-names: Mety email: mety.assahid@bps.go.id - family-names: Fithriasari given-names: Kartika email: kartika_f@statistika.its.ac.id - family-names: Prastyo given-names: Dedy Dwi email: dedy-dp@statistika.its.ac.id repository: https://madsyair.r-universe.dev repository-code: https://github.com/madsyair/accuracylevel commit: 0de6e07a12f84f294362f332216d2655a1b69014 url: https://github.com/madsyair/accuracylevel date-released: '2026-06-10' contact: - family-names: Choir given-names: Achmad Syahrul email: madsyair@stis.ac.id