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actuary

0.1.2Package record

Actuarial Functions and Utilities

0packages depend
3.9Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 1.6 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK13 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.2
README· In the repository, left out of the releaseVignettesNoNEWSYes · 100% structured · does not mention 0.1.2Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
8
Examples that run
17%1 run in a plain check · 5 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
25%

Downloads

3.9K
CRAN downloads in the past year
Rank #7,981 · ~11/day · ~323/mo
Daily download trend is not available in this view yet.
41730 days
1.2K90 days
3.9K1 year
Compare downloads with other packages →
Also on68 r2u23 autocran

Repository

1Stars
0Forks
2Open issues
0Open PRs
0Releases
65Commits
1Commit identities
65 commits · Last activity 2026-02-27 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2026-03-04 · 12026-07-07 · 1
PracticesBeta

6 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/andrewwilson201/actuary on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-02-27
    Commits: at least 2 crediting it in the message
Models named in its commits
  • Claude Sonnet 4.62 commits · Feb 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing actuary adds 58 packages (29 with compiled code, 46 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.2 (2026), Copyright holder
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.2Latest
    2026-03-04 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-04
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Bundled data
873 KB / 2 files
Download size
919 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("actuary")
Wilson, A. (2026). actuary: Actuarial Functions and Utilities (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.actuary

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for actuary version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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