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actuary
View on CRAN: Click
here
Download and install actuary package within the R console
Install from CRAN:
install.packages("actuary")
Install from Github:
library("remotes")
install_github("cran/actuary") Install by package version:
library("remotes")
install_version("actuary", "0.1.2") Attach the package and use:
library("actuary")
Maintained by
Andrew Wilson
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-04
Latest Update: 2026-03-04
Description:
Provides actuarial modeling tools for Monte Carlo loss simulations, loss reserving, and reinsurance layer loss calculations. It enables users to generate stochastic loss datasets with customisable frequency and severity distributions, fit development patterns to claim triangles, and calculate reinsurance losses for occurrence and aggregate layers with user-defined retentions, limits, and reinstatements. For development pattern selection, the package includes a machine learning approach that evaluates multiple reserving models using holdout validation to identify the best-fitting pattern based on predictive accuracy, this is based on the algorithm described in Richman, R and Balona, C (2020)<https://www.ssrn.com/abstract=3697256>.
How to cite:
Andrew Wilson (2026). actuary: Actuarial Functions and Utilities. R package version 0.1.2, https://cran.r-project.org/web/packages/actuary. Accessed 15 Mar. 2026.
Previous versions and publish date:
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