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CRAN: Package report

report: Automated Reporting of Results and Statistical Models

The aim of the 'report' package is to bridge the gap between R’s output and the formatted results contained in your manuscript. This package converts statistical models and data frames into textual reports suited for publication, ensuring standardization and quality in results reporting.

Version: 0.6.3
Depends: R (≥ 3.6)
Imports: bayestestR (≥ 0.17.0), effectsize (≥ 1.0.1), insight (≥ 1.4.1), parameters (≥ 0.28.1), performance (≥ 0.15.1), datawizard (≥ 1.2.0), stats, tools, utils
Suggests: BayesFactor, brms, collapse, GLMMadaptive, glmmTMB, ivreg, knitr, lavaan, lme4, loo, nlme, dplyr, Formula, rmarkdown, rstanarm, survival, modelbased (≥ 0.9.0), emmeans, marginaleffects (≥ 0.25.0), RcppEigen, BH, testthat (≥ 3.2.1)
Published: 2026-01-08
DOI: 10.32614/CRAN.package.report
Author: Dominique Makowski ORCID iD [aut], Daniel Lüdecke ORCID iD [aut], Indrajeet Patil ORCID iD [aut], Rémi Thériault ORCID iD [aut, cre], Mattan S. Ben-Shachar ORCID iD [aut], Brenton M. Wiernik ORCID iD [aut], Rudolf Siegel ORCID iD [ctb], Camden Bock ORCID iD [ctb]
Maintainer: Rémi Thériault <remi.theriault at mail.mcgill.ca>
BugReports: https://github.com/easystats/report/issues
License: MIT + file LICENSE
URL: https://easystats.github.io/report/
NeedsCompilation: no
Language: en-US
Citation: report citation info
Materials: README, NEWS
CRAN checks: report results

Documentation:

Reference manual: report.html , report.pdf
Vignettes: Report and Cite Packages (source, R code)
Supporting New Models (source, R code)
Automated Reporting: Getting Started (source, R code)
Publication-ready Tables (source, R code)

Downloads:

Package source: report_0.6.3.tar.gz
Windows binaries: r-devel: report_0.6.3.zip, r-release: report_0.6.3.zip, r-oldrel: report_0.6.3.zip
macOS binaries: r-release (arm64): report_0.6.3.tgz, r-oldrel (arm64): report_0.6.3.tgz, r-release (x86_64): report_0.6.3.tgz, r-oldrel (x86_64): report_0.6.3.tgz
Old sources: report archive

Reverse dependencies:

Reverse imports: colleyRstats, easystats, SqueakR
Reverse suggests: modelbased, rempsyc

Linking:

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