A note on data | 1. Simple case (Table 4--6) | Conventional and robust metrics (Table 5) | Accuracy-level metrics (Table 6) | 2. Regression with outliers | 3. Time-series case | 4. Framework integration | caret | tidymodels / yardstick | forecast | Session info
This package is considered a duplicate. The official version of this package is found at:https://madsyair.r-universe.dev/accuracylevel
Package: accuracylevel 0.1.0
Achmad Syahrul Choir
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>.
Authors:
accuracylevel_0.1.0.tar.gz
accuracylevel_0.1.0.tar.gz(r-4.7-any)accuracylevel_0.1.0.tar.gz(r-4.6-any)
accuracylevel_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
accuracylevel/json (API)
| # Install 'accuracylevel' in R: |
| install.packages('accuracylevel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/madsyair/accuracylevel/issues
Last updated from:182c4a56e1. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 139 | ||
| source / vignettes | OK | 172 | ||
| linux-release-x86_64 | OK | 148 | ||
| wasm-release | OK | 120 |
Exports:absolute_errorabsolute_percentage_erroraccuracy_levelaccuracy_level_metricsal_compare_forecastsal_extended_accuracyal_forecast_accuracyal_metric_setal_tsCVauto_thresholdcaecae_l1calculate_thresholdcapecape_l1caret_single_metriccaret_summarycaret_summary_extendedcompare_all_metricscompare_modelsconventional_metricscsecse_l1get_all_levelsrobust_metricsscapescape_l1squared_errorsymmetric_absolute_percentage_error
Dependencies:
