psycho: Efficient and Publishing-Oriented Workflow for Psychological Science

The main goal of the psycho package is to provide tools for psychologists, neuropsychologists and neuroscientists, to facilitate and speed up the time spent on data analysis. It aims at supporting best practices and tools to format the output of statistical methods to directly paste them into a manuscript, ensuring statistical reporting standardization and conformity.

Version: 0.6.1
Depends: R (≥ 3.5.0)
Imports: stats, scales, utils, dplyr, stringr, ggplot2, insight, bayestestR, parameters, effectsize
Suggests: knitr, rmarkdown, testthat, covr, GPArotation
Published: 2021-01-19
DOI: 10.32614/CRAN.package.psycho
Author: Dominique Makowski ORCID iD [aut, cre, cph], Hugo Najberg [ctb], Viliam Simko [ctb], Sasha Epskamp [rev] (Sasha reviewed the package for JOSS, see
Maintainer: Dominique Makowski <dom.makowski at>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: psycho citation info
Materials: README NEWS
CRAN checks: psycho results


Reference manual: psycho.pdf
Vignettes: BayesianPsychology
psycho for R


Package source: psycho_0.6.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): psycho_0.6.1.tgz, r-oldrel (arm64): psycho_0.6.1.tgz, r-release (x86_64): psycho_0.6.1.tgz, r-oldrel (x86_64): psycho_0.6.1.tgz
Old sources: psycho archive

Reverse dependencies:

Reverse imports: CLUSTShiny, KNNShiny, PREPShiny, STAT, STAT2


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