Package: actuaRE 0.1.5

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>.

Authors:Campo Bavo D.C. [aut, cre]

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Bug tracker:https://github.com/bavodc/websiteactuare/issues

On CRAN:

36 exports 0.00 score 50 dependencies 11 scripts 544 downloads

Last updated 1 years agofrom:296dc41739. Checks:OK: 5 NOTE: 2. Indexed: yes.

Exports:adjustInterceptBalancePropertyfindbarsfitted.hierCredGLMfitted.hierCredibilityfitted.hierCredTweediefixeffixef.hierCredGLMfixef.hierCredTweedieglFormulahierCredGLMhierCredibilityhierCredTweedieis.formulaisNestednobarsNrUniqueplotREpredict.hierCredGLMpredict.hierCredibilitypredict.hierCredTweedieprint.BalancePropertyprint.hierCredGLMprint.hierCredibilityprint.hierCredTweedieranefranef.hierCredGLMranef.hierCredibilityranef.hierCredTweediesummary.hierCredGLMsummary.hierCredibilitysummary.hierCredTweedietweedieGLMMweights.cpglmweights.hierCredGLMweights.hierCredTweedie

Dependencies:biglmbootclicodacolorspacecplmdata.tableDBIevaluatefansifarverggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgconfigplyrR6RColorBrewerRcppRcppEigenreshape2rlangscalesstatmodstringistringrtibbletweedieutf8vctrsviridisLitewithrxfunyaml