R Observatory: Metrics for NetSimR version 0.3.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

NetSimR

0.3.2Package record

Actuarial Functions for Non-Life Insurance Modelling

0packages depend

22.7Kdownloads / year

84.7%test coverage

13/13flavors OK

Overview

About

Maintained by Yiannis ParizasCRAN page ↗GitHub ↗Issues ↗

Assists actuaries and other insurance modellers in pricing, reserving and capital modelling for non-life insurance and reinsurance modelling. Provides functions that help model excess levels, capping and pure Incurred but not reported claims (pure IBNR). Includes capped mean, exposure curves and increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes mean, probability density function (pdf), cumulative probability function (cdf) and inverse cumulative probability function for Sliced LogNormal-Pareto and Sliced Gamma-Pareto distributions. Includes calculating pure IBNR exposure with LogNormal and Gamma distribution for reporting delay. Includes three 'shiny' tools: a claims simulator with reinsurance structures, a generalised linear model fitting tool, and a claims frequency and severity distribution fitting tool. Methods used in the package refer to Free for All by Yiannis Parizas (2023) https://www.theactuary.com/2023/03/02/free-all; Escaping the triangle by Yiannis Parizas (2019) https://www.theactuary.com/features/2019/06/2019/06/05/escaping-triangle; Taken to excess by Yiannis Parizas (2019) https://www.theactuary.com/features/2019/03/2019/03/06/taken-excess.

Changes in 0.3.2

The test of the settings files asked for a double to come back from its text form bit for bit. A platform built without long double reads such text up to a bit out, whatever the number of digits written, so the test failed on CRAN's noLD check; it now allows that difference where the platform cannot do better and still asks for an exact value everywhere else. Settings files themselves are unchanged.

From NEWS in the release

Install

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

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

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

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("NetSimAnalytics/NetSimR")

Development version from NetSimAnalytics/NetSimR. Installs pak first if it is not already available.

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-netsimr

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-NetSimR

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-NetSimR

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

13OK

CRAN check page ↗

Slowest check: 6.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-16
ERROR10 OK, 3 ERROR2026-09-14
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 3 earlier changesHide 3 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-04-09
ERROR13 OK, 1 ERROR2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.2

READMEYes · 239 wordsVignettesYes · 4 · evaluation depends on the environmentNEWSYes · 0% structured · mentions 0.3.2Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 48 (14 internal)includes a package overview page
Examples that run: 100%34 run in a plain check (3 of them under a condition)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (4)

How these are measured

Downloads

22.7K

CRAN downloads in the past year

Rank #2,436 · ~62/day · ~1.9K/mo

Releases R versions

Daily download trend is not available in this view yet.

79830 days

6.7K90 days

22.7K1 year

Compare downloads with other packages →

Also on109 r2u3 autocran31 c2d4u

How downloads are counted

Repository

netsimanalytics/netsimr ↗Account: NetSimAnalytics

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-09-30

Responsiveness

not measured

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/netsimanalytics/netsimr on 2026-10-22.

Continuous integration (2)

GitHub ActionsR CMD check workflow

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

CRAN release process (1)

cran-comments.md

Lint, format, editor (1)

RStudio project

Git structural (1)

.gitattributes

How this is detected·Detection ruleset v4 (2026-10-20)

AI coding toolsBeta

This repository shows signs of AI coding tools.

Claude Codefirst seen 2026-09-13
Named in .Rbuildignore: .claude
Commits: at least 29 crediting it in the message

Models named in its commits

Claude Opus 529 commits · Sep 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

15 external dependencies (excludes base and recommended)

Installing NetSimR adds 34 packages (20 with compiled code, 26 MB of source tarballs). Heaviest: bslib 5.6 MB, promises 3.1 MB, sass 2.9 MB.

Depends (0)

none

Imports (10)

shiny base64enc bslib future (>= 1.17.0)parallelmethodsstatsutilsgraphicsgrDevices

LinkingTo (0)

none

Suggests (11)

knitr rmarkdown crch testthat shinytest2 chromote pkgload DBI RODBC RPostgreSQL RSQLite

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Yiannis Parizas

Author, Maintainer since 0.1.0 (2019)

Releases (11)

Pick two releases to compare their code metrics.

0.3.2Latest
record
2026-09-30 · current release · diff ↗
0.3.1
record
2026-09-22 · diff ↗
0.3.0
record
2026-09-15 · diff ↗
0.2.0
record
2026-09-13 · diff ↗ ·
added 1 export
simulate_claims
0.1.6
record
2026-07-12 · diff ↗
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
0.1.5
record
2023-12-02 · diff ↗
0.1.4
record
2023-10-25 · diff ↗ ·
added 1 export
run_shiny_distribution_fitting_tool
0.1.3
record
2023-09-28 · diff ↗ ·
added 1 export
run_shiny_glm_fitting_tool
R
R 4.3.0 released · 2023-04-21
0.1.2
record
2023-01-18 · diff ↗ ·
removed 1 export
pattern:^[[:alpha:]]+

added 31 exports
ExposureCurveGamma, ExposureCurveLNorm, ExposureCurvePareto, ExposureCurveSlicedGammaPareto, ExposureCurveSlicedLNormPareto, GammaCappedMean, IGamma, ILFGamma, ILFLNorm, ILFPareto, ILFSlicedGammaPareto, ILFSlicedLNormPareto, LNormCappedMean, ParetoCappedMean, ParetoCappedMeanCalc, PureIBNRGamma, PureIBNRLNorm, SlicedGammaParetoCappedMean, SlicedGammaParetoMean, SlicedLNormParetoCappedMean, SlicedLNormParetoMean, apply_deductible_limit, dSlicedGammaPareto, dSlicedLNormPareto, erf, pSlicedGammaPareto, pSlicedLNormPareto, qSlicedGammaPareto, qSlicedLNormPareto, run_shiny_simulator and 1 more
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.1
record
2021-04-22 · diff ↗

Show 3 earlier eventsHide 3 earlier events

R
R 4.0.0 released · 2020-04-24
0.1.0
record
2019-08-20
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-08-20
Total releases: 11 / 7 yrs
License: GPL-3 OSI
Download size: 355 KB

Appears in task views

Actuarial Science

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NetSimR")

Format

Parizas, Y. (2026). NetSimR: Actuarial Functions for Non-Life Insurance Modelling (Version 0.3.2) [Computer software]. https://doi.org/10.32614/CRAN.package.NetSimR

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NetSimR version 0.3.2 [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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