Changepoint-Aware Ensemble for Probabilistic Modeling R package chopper version 1.0 Implements a changepoint-aware ensemble forecasting algorithm that combines Theta, TBATS (Trigonometric, Box-Cox transformation, ARMA errors, Trend, Seasonal components), and ARFIMA (AutoRegressive, Fractionally Integrated, Moving Average) using a product-of-experts approach for robust probabilistic prediction. Software Depends: R (>= 2.10) Imports: normalp (>= 0.7.2), purrr (>= 1.0.1), ald (>= 1.3.1), evd (>= 2.3-6.1), GeneralizedHyperbolic (>= 0.8-6), fGarch (>= 4022.89), forecast (>= 8.21), imputeTS (>= 3.3), changepoint (>= 2.3), lubridate (>= 1.9.2), ggplot2 (>= 3.5.1), scales (>= 1.3.0) Suggests: knitr, testthat (>= 3.0.0) Giancarlo Vercellino <giancarlo.vercellino@gmail.com> Comprehensive R Archive Network (CRAN) Giancarlo Vercellino [aut, cre, cph] GPL-3 2025-05-27 application/tgz https://CRAN.R-project.org/package=chopper doi:10.32614/CRAN.package.chopper