Handling Single-Level and Hierarchically Structured Risk Factors using Credibility and Random Effects Models R package actuaRE version 1.0.1 CRAN Task View: ActuarialScience (https://CRAN.R-project.org/view=ActuarialScience) Fits random effects models for multi-level/high-cardinality factors using credibility theory (Buhlmann-Straub for single-level, Jewell for hierarchical structures), GLM extensions following Ohlsson (2008) <doi:10.1080/03461230701878612>, or Tweedie generalized linear mixed models. Provides functions for model fitting, visualization, and prediction. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>. Software Depends: R (>= 3.5.0), stats, methods, cplm Imports: statmod, nlme, lme4, magrittr, data.table, ggplot2, reformulas Suggests: plyr, knitr, bookdown, insuranceData, actuar, utils, lattice, minqa, rmarkdown, dplyr Campo Bavo D.C. <bavo.decock@kuleuven.be> Comprehensive R Archive Network (CRAN) Campo Bavo D.C. [aut, cre] GPL (>= 3) 2026-07-03 application/tgz https://CRAN.R-project.org/package=actuaRE doi:10.32614/CRAN.package.actuaRE