actxps: Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports

Experience studies are used by actuaries to explore historical experience across blocks of business and to inform assumption setting activities. This package provides functions for preparing data, creating studies, visualizing results, and beginning assumption development. Experience study methods, including exposure calculations, are described in: Atkinson & McGarry (2016) "Experience Study Calculations" <>. The limited fluctuation credibility method used by the 'exp_stats()' function is described in: Herzog (1999, ISBN:1-56698-374-6) "Introduction to Credibility Theory".

Version: 1.5.0
Depends: R (≥ 4.1)
Imports: dplyr (≥ 1.1.1), ggplot2, tibble, rlang, glue, purrr, scales, gt (≥ 0.9.0), paletteer, recipes, generics, readr, tidyr, vctrs, clock
Suggests: knitr, RColorBrewer, rmarkdown, testthat (≥ 3.0.0), shiny (≥ 1.7.5), bslib (≥ 0.5.1), thematic
Published: 2024-06-25
DOI: 10.32614/CRAN.package.actxps
Author: Matt Heaphy [aut, cre]
Maintainer: Matt Heaphy <mattrmattrs at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
In views: ActuarialScience
CRAN checks: actxps results


Reference manual: actxps.pdf
Vignettes: Getting started with actxps
Experience summaries
Exposure calculations
Other functions
Transaction studies


Package source: actxps_1.5.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): actxps_1.5.0.tgz, r-oldrel (arm64): actxps_1.5.0.tgz, r-release (x86_64): actxps_1.5.0.tgz, r-oldrel (x86_64): actxps_1.5.0.tgz
Old sources: actxps archive


Please use the canonical form to link to this page.