Statistical Modelling in Action with R
Overview
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.
- Added documentation language in description file.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK12 OK2026-04-25
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 32 (1 internal)includes a package overview page
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 92%
- Help pages citing references
- 3%
Also includes 8 demo scripts (run with demo())
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 0
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Releases over time
7 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/fbertran/modstatr on 2026-10-18.
The R CMD check workflow runs on Linux and macOS
GitHub Pages site last deployed 2025-09-24
pkgdown site last built 2025-08-26, before release 1.4.2 (2026-05-03)
Dependencies
Installing ModStatR adds 9 packages (6 with compiled code, 6.3 MB of source tarballs). Heaviest: deSolve 1.9 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 1.4.2Latest
- RR 4.6.0 released · 2026-04-24
- 1.4.12025-09-13 · diff ↗
- 1.4.02025-08-28 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.3.32023-03-24 · diff ↗
- 1.3.22022-11-28 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 1.3.12021-03-14 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 1.3.02019-09-30
- RR 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
Cite
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citation("ModStatR")The package provides a citation file that builds its entry when R runs it. Run citation() to see it.
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