Package: accuracylevel 0.1.0

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:Achmad Syahrul Choir [cre, aut], Mety Agustini [aut], Kartika Fithriasari [aut], Dedy Dwi Prastyo [aut]

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manual.pdf |manual.html✨
card.svg |card.png
accuracylevel/json (API)
NEWS

# Install 'accuracylevel' in R:
install.packages('accuracylevel', repos = c('https://madsyair.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/madsyair/accuracylevel/issues

On CRAN:

Conda:

3.70 score 4 scripts 29 exports 0 dependencies

Last updated from:0de6e07a12. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK144
source / vignettesOK271
linux-release-x86_64OK137
macos-release-arm64OK153
macos-oldrel-arm64OK137
windows-develOK104
windows-releaseOK90
windows-oldrelOK81
wasm-releaseOK112

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:

Replicating Agustini et al. (2026) with accuracylevel

Rendered fromreplication.Rmdusingknitr::rmarkdownon Jun 19 2026.

Last update: 2026-06-10
Started: 2026-06-10

Readme and manuals

Help Manual

Help pageTopics
Calculate Absolute Errorabsolute_error
Calculate Absolute Percentage Errorabsolute_percentage_error
Compute Accuracy-Level Metricsaccuracy_level
Full Accuracy-Level Metrics for yardstickaccuracy_level_metrics accuracy_level_metrics.data.frame
Compare Multiple Forecast Modelsal_compare_forecasts
Extended Forecast Accuracy Summaryal_extended_accuracy
Accuracy-Level Metrics for Forecast Objectsal_forecast_accuracy al_forecast_accuracy.default al_forecast_accuracy.forecast
Create Metric Set for tidymodelsal_metric_set
Time Series Cross-Validation with Accuracy-Level Metricsal_tsCV
Automatic Threshold Selectionauto_threshold
Counted Absolute Error (CAE)cae
CAE Level 1 Metric for yardstickcae_l1 cae_l1.data.frame
Calculate Error Thresholds from a Baseline Modelcalculate_threshold
Counted Absolute Percentage Error (CAPE)cape
CAPE Level 1 Metric for yardstickcape_l1 cape_l1.data.frame
Create Single Metric caret Summarycaret_single_metric
Create Custom caret Metricscaret_summary
Create Extended caret Summary with All Levelscaret_summary_extended
Compare All Metric Typescompare_all_metrics
Compare Multiple Modelscompare_models
Calculate Conventional Metricsconventional_metrics
Counted Squared Error (CSE)cse
CSE Level 1 Metric for yardstickcse_l1 cse_l1.data.frame
Get All Levels for a Metricget_all_levels
Print Method for al_threshold Objectsprint.al_threshold
Calculate Robust Metricsrobust_metrics
Symmetric Counted Absolute Percentage Error (SCAPE)scape
SCAPE Level 1 Metric for yardstickscape_l1 scape_l1.data.frame
Calculate Squared Errorsquared_error
Calculate Symmetric Absolute Percentage Errorsymmetric_absolute_percentage_error