actuaRE: Handling Hierarchically Structured Risk Factors using Random Effects Models

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:	0.1.5
Depends:	R (≥ 3.5.0), stats, methods, cplm
Imports:	statmod, nlme, lme4, magrittr, data.table, ggplot2, knitr
Suggests:	plyr, insuranceData, actuar, utils, lattice, minqa
Published:	2023-03-20
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:

Reference manual:	actuaRE.pdf
Vignettes:	actuaRE

Downloads:

Package source:	actuaRE_0.1.5.tar.gz
Windows binaries:	r-devel: actuaRE_0.1.5.zip, r-release: actuaRE_0.1.5.zip, r-oldrel: actuaRE_0.1.5.zip
macOS binaries:	r-release (arm64): actuaRE_0.1.5.tgz, r-oldrel (arm64): actuaRE_0.1.5.tgz, r-release (x86_64): actuaRE_0.1.5.tgz, r-oldrel (x86_64): actuaRE_0.1.5.tgz
Old sources:	actuaRE archive

Linking:

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