R Observatory: Metrics for ModStatR version 1.4.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ModStatR

1.4.2

Statistical Modelling in Action with R

0packages depend

6.3Kdownloads / year

93.9%test coverage

13/13checks pass

Overview

About

Maintained by Frederic BertrandFirst published 2019-09-307 releasesCRAN page ↗GitHub ↗

Datasets and functions for the book "Modélisation statistique par la pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019, ISBN:9782100793525, Dunod, Paris). The first chapter of the book is dedicated to an introduction to the R statistical software. The second chapter deals with correlation analysis: Pearson, Spearman and Kendall simple, multiple and partial correlation coefficients. New wrapper functions for permutation tests or bootstrap of matrices of correlation are provided with the package. The third chapter is dedicated to data exploration with factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is dedicated to regression analysis: fitting and model diagnostics are detailed. The exercises focus on covariance analysis, logistic regression, Poisson regression, two-way analysis of variance for fixed or random factors. Various example datasets are shipped with the package: for instance on pokemon, world of warcraft, house tasks or food nutrition analyses.

Install

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

install.packages("ModStatR", 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("fbertran/ModStatR")

Development version from fbertran/ModStatR. 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-modstatr

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-ModStatR

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-ModStatR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.34

93.9%

Coverage · measured lines

100%

Documentation · exports

6

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-03-10
11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 92%
References docs: 3%

Downloads

6.3K

CRAN downloads in the past year

Rank #6,478 · ~17/day · ~522/mo

Releases R versions

Daily download trend is not available in this view yet.

23730 days

1.3K90 days

6.3K1 year

Compare downloads with other packages →

Also on207 r2u15 autocran

Repository

GitHub ↗ fbertran/modstatr

5Stars

2Forks

0Open issues

0Open PRs

2Releases

27Commits

1Contributors

27 commits · Last activity 2025-09-24

Stars over time

2021-03-15 · 52026-07-07 · 5

Repository practices

Upstream repositoryBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/fbertran/modstatr on 2026-08-09.

Continuous integration (1)

GitHub Actions

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

49 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (6)

statsbootjmuOutlier ellipse hypergeo gsl

LinkingTo (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Frederic Bertrand

Maintainer, Author

Authors (3)

Frederic Bertrand

Maintainer, Author

Emmanuelle Claeys

Author

Myriam Maumy-Bertrand

Author

Package Timeline

7 releases. Pick two to compare their code metrics. R releases are shown for context.

1.4.2Latest
2026-05-03 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.4.1
2025-09-13 · diff ↗
1.4.0
2025-08-28 · diff ↗
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
1.3.3
2023-03-24 · diff ↗
1.3.2
2022-11-28 · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.3.1
2021-03-14 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.3.0
2019-09-30
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-09-30
Total releases: 7 / 7 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.2 MB / 19 files
Download size: 2.3 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ModStatR")

Format

Bertrand, F., Claeys, E., & Maumy-Bertrand, M. (2026). ModStatR: Statistical Modelling in Action with R (Version 1.4.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ModStatR

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 ModStatR version 1.4.2 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →