Using this package, you can fit a random effects model using either the hierarchical credibility model, a combination of the hierarchical credibility model with a generalized linear model or a Tweedie generalized linear mixed model. See Campo, B.D.C. and Antonio, K. (2023) <doi:10.1080/03461238.2022.2161413>.
Version: 0.1.6 Depends: R (≥ 3.5.0), stats, methods, cplm Imports: statmod, nlme, lme4, magrittr, data.table, ggplot2, knitr Suggests: plyr, insuranceData, actuar, utils, lattice, minqa, rmarkdown Published: 2025-07-31 DOI: 10.32614/CRAN.package.actuaRE Author: Campo Bavo D.C. [aut, cre] Maintainer: Campo Bavo D.C. <bavo.decock at kuleuven.be> License: GPL (≥ 3) URL: https://bavodc.github.io/websiteactuaRE/ NeedsCompilation: no Citation: actuaRE citation info Materials: README In views: ActuarialScience CRAN checks: actuaRE results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=actuaRE to link to this page.
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