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 https://github.com/openjournals/joss-reviews/issues/470)
Maintainer: Dominique Makowski <dom.makowski at gmail.com>
BugReports: https://github.com/neuropsychology/psycho.R/issues
License: MIT + file LICENSE
URL: https://github.com/neuropsychology/psycho.R
NeedsCompilation: no
Citation: psycho citation info
Materials: README NEWS
CRAN checks: psycho results

Downloads:

Reference manual: psycho.pdf
Vignettes: BayesianPsychology
Overview
Package source: psycho_0.3.4.tar.gz
Windows binaries: r-devel: psycho_0.3.4.zip, r-release: psycho_0.3.4.zip, r-oldrel: psycho_0.3.4.zip
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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