R Observatory: Metrics for insuranceData version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

insuranceData

1.0Package record

A Collection of Insurance Datasets Useful in Risk Classification in Non-life Insurance

0packages dependsuggested by 3

12.3Kdownloads / year

–test coverage

0/13flavors OK

Overview

About

Maintained by Alicja Wolny--DominiakCRAN page ↗

Insurance datasets, which are often used in claims severity and claims frequency modelling. It helps testing new regression models in those problems, such as GLM, GLMM, HGLM, non-linear mixed models etc. Most of the data sets are applied in the project "Mixed models in ratemaking" supported by grant NN 111461540 from Polish National Science Center.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("insuranceData", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-insurancedata

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-insuranceData

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-insuranceData

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13NOTE

Check messages

NOTEDESCRIPTION meta-informationr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64

Malformed Title field: should not end in a period.

NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Maintainer: ‘Alicja Wolny--Dominiak <alicja.wolny-dominiak@ue.katowice.pl>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Alicja",
                      family = "Wolny--Dominiak",
                      role = c("aut", "cre"),
                      email = "alicja.wolny-dominiak@ue.katowice.pl"),
               person(given = "Michal",
                      family = "Trzesiok",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 46 s · r-devel-windows-x86_64

Status changes

NOTE13 NOTENow
NOTE14 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10
Examples that run: 100%10 run in a plain check
Exported functions with examples: not tracked
Documented parameters: not tracked
Return-value docs: not tracked
Help pages citing references: 100%

How these are measured

Downloads

12.3K

CRAN downloads in the past year

Rank #3,707 · ~34/day · ~1K/mo

Releases R versions

Daily download trend is not available in this view yet.

1K30 days

2.6K90 days

12.3K1 year

Compare downloads with other packages →

Also on133 r2u6 autocran47 c2d4u

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Installing insuranceData adds no packages beyond those that come with R.

Depends (1)

R >= 2.10

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Suggested by 3

Suggests, most downloaded first

raw datarobot actuaRE

How these are counted

Code & Tests

Datasets

People & History

People (from the free-text Author field) (2)

Alicja Wolny--Dominiak

Michal Trzesiok

Maintainer since 1.0 (2014)

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0Latest
record
2014-09-04 · current release
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2014-09-04
Total releases: 1 / 12 yrs
License: GPL-2 OSI
Minimum R: ≥ 2.10
Bundled data: 577 KB / 10 files
Download size: 584 KB

Appears in task views

Actuarial Science

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("insuranceData")

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for insuranceData version 1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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