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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:

Please use the canonical form https://CRAN.R-project.org/package=actuaRE to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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