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: 0.3.0
Imports: bayestestR (≥ 0.9.0), effectsize (≥ 0.4.4), insight (≥ 0.13.2), parameters (≥ 0.13.0), performance (≥ 0.7.1), stats, tools, utils
Suggests: BayesFactor, brms, dplyr, httr, knitr, lavaan, lme4, logspline, rmarkdown, rstanarm, spelling, testthat
Published: 2021-04-15
Author: Dominique Makowski ORCID iD [aut, cre] (@Dom_Makowski), Daniel Lüdecke ORCID iD [aut], Mattan S. Ben-Shachar ORCID iD [aut], Indrajeet Patil ORCID iD [aut] (@patilindrajeets), Rudolf Siegel ORCID iD [ctb]
Maintainer: Dominique Makowski <dom.makowski at gmail.com>
BugReports: https://github.com/easystats/report/issues
License: GPL-3
URL: https://easystats.github.io/report/
NeedsCompilation: no
Language: en-US
Citation: report citation info
Materials: README NEWS
CRAN checks: report results

Downloads:

Reference manual: report.pdf
Vignettes: Report and Cite Packages
Supporting New Models
Get Started
Package source: report_0.3.0.tar.gz
Windows binaries: r-devel: report_0.3.0.zip, r-release: report_0.3.0.zip, r-oldrel: report_0.3.0.zip
macOS binaries: r-release: report_0.3.0.tgz, r-oldrel: not available

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