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: | 0.5.0 |
Depends: | R (≥ 3.5.0) |
Imports: | methods, stats, scales, utils, dplyr, tidyr, stringr, ggplot2, insight, bayestestR, parameters, performance, effectsize |
Suggests: | knitr, rmarkdown, testthat, covr, plotly, GPArotation |
Published: | 2020-01-22 |
Author: | Dominique Makowski [aut, cre, cph], Hugo Najberg [ctb], 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 |
Reference manual: | psycho.pdf |
Vignettes: |
BayesianPsychology Overview |
Package source: | psycho_0.5.0.tar.gz |
Windows binaries: | r-devel: psycho_0.5.0.zip, r-release: psycho_0.5.0.zip, r-oldrel: psycho_0.5.0.zip |
macOS binaries: | r-release: psycho_0.5.0.tgz, r-oldrel: psycho_0.5.0.tgz |
Old sources: | psycho archive |
Reverse imports: | CLUSTShiny, KNNShiny, PREPShiny, STAT, STAT2 |
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