psycho: Efficient and Publishing-Oriented Workflow for Psychological Science

Toolbox for psychologists, neuropsychologists and neuroscientists. It implements methods to create report-ready outputs for many statistical models, as well as various convenient statistical functions used in psychological science, such as correlation matrices and standardization.

Version: 0.2.3
Depends: R (≥ 3.4.0)
Imports: methods, dplyr, ggplot2, tidyr, stringr, purrr, psych, MASS, nFactors, qgraph, ppcor, ggcorrplot, rstanarm, MuMIn, lmerTest, coda, emmeans, broom, tibble, DescTools, pbkrtest, BayesFactor, scales
Suggests: knitr, rmarkdown, testthat, covr, lme4, plotly, loo (≥ 2.0.0)
Published: 2018-05-11
Author: Dominique Makowski [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_0.2.3.tar.gz
Windows binaries: r-devel: psycho_0.2.3.zip, r-release: psycho_0.2.3.zip, r-oldrel: psycho_0.2.3.zip
OS X binaries: r-release: psycho_0.1.4.tgz, r-oldrel: psycho_0.1.4.tgz
Old sources: psycho archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=psycho to link to this page.