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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 |
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 |
Reference manual: | neatStats.pdf |
Vignettes: |
example_pipeline |
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 |
Please use the canonical form https://CRAN.R-project.org/package=neatStats to link to this page.
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.