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: 0.3.4
Depends: R (≥ 3.4.0)
Imports: methods, dplyr, ggplot2, tidyr, stringr, purrr, psych, MASS, nFactors, qgraph, ppcor, ggcorrplot, rstanarm, rstantools, MuMIn, lme4, lmerTest, coda, emmeans (≥ 1.2.2), broom, tibble, DescTools, pbkrtest, BayesFactor (≥ 0.9.1), scales, loo (≥ 2.0.0), lavaan
Suggests: knitr, rmarkdown, testthat, covr, plotly, GPArotation
Published: 2018-07-13
Author: Dominique Makowski ORCID iD [aut, cre, cph], 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
Package source: psycho_0.3.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: psycho_0.3.4.tgz, r-oldrel: psycho_0.3.4.tgz
Old sources: psycho archive


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