report: Automated Reporting of Results and Statistical Models (original) (raw)

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: 0.6.2
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: 2025-11-03
DOI: 10.32614/CRAN.package.report
Author: Dominique MakowskiORCID iD [aut], Daniel Lüdecke ORCID iD [aut], Indrajeet Patil ORCID iD [aut], Rémi Thériault ORCID iD [aut, cre], Mattan S. Ben-ShacharORCID iD [aut], Brenton M. WiernikORCID 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
URL: https://easystats.github.io/report/
NeedsCompilation: no
Language: en-US
Citation: report citation info
Materials: README, NEWS
CRAN checks: report results

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