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neatStats: Neat and Painless Statistical Reporting

User-friendly, clear and simple statistics, primarily for publication in psychological science. The main functions are wrappers for other packages, but there are various additions as well. Every relevant step from data aggregation to reportable printed statistics is covered for basic experimental designs.

Version: 1.13.3
Depends: R (≥ 3.6.0)
Imports: viridis, fBasics, data.table, bayestestR, pROC, MBESS, car, ez, Exact, BayesFactor, ggplot2, ggpubr, logspline, grDevices, stats, graphics
Suggests: rmarkdown, knitr, rstudioapi
Published: 2022-12-07
DOI: 10.32614/CRAN.package.neatStats
Author: Gáspár Lukács ORCID iD [aut, cre], Bennett Kleinberg ORCID iD [ctb], Johnny van Doorn ORCID iD [ctb]
Maintainer: Gáspár Lukács <lkcsgaspar at gmail.com>
License: BSD_2_clause + file LICENSE
URL: https://github.com/gasparl/neatstats
NeedsCompilation: no
Materials: README
CRAN checks: neatStats results

Documentation:

Reference manual: neatStats.pdf
Vignettes: example_pipeline

Downloads:

Package source: neatStats_1.13.3.tar.gz
Windows binaries: r-devel: neatStats_1.13.3.zip, r-release: neatStats_1.13.3.zip, r-oldrel: neatStats_1.13.3.zip
macOS binaries: r-release (arm64): neatStats_1.13.3.tgz, r-oldrel (arm64): neatStats_1.13.3.tgz, r-release (x86_64): neatStats_1.13.3.tgz, r-oldrel (x86_64): neatStats_1.13.3.tgz
Old sources: neatStats archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.