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.

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Description file content

Package
psycho
Type
Package
Title
Efficient and Publishing-Oriented Workflow for Psychological Science
Version
0.3.7
Maintainer
Dominique Makowski
URL
BugReports
https://github.com/neuropsychology/psycho.R/issues
Description
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.
License
MIT + file LICENSE
Encoding
UTF-8
LazyData
true
RoxygenNote
6.1.0
Depends
R (>= 3.5.0)
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, BayesFactor (>= 0.9.1), scales, loo (>= 2.0.0), lavaan
Suggests
knitr, rmarkdown, testthat, covr, plotly, GPArotation
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2018-09-13 08:51:40 UTC; Dom
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)
Repository
CRAN
Date/Publication
2018-09-13 10:20:03 UTC

install.packages('psycho')

0.3.7

a month ago

https://github.com/neuropsychology/psycho.R

Dominique Makowski

MIT + file LICENSE

Depends on

R (>= 3.5.0)

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, BayesFactor (>= 0.9.1), scales, loo (>= 2.0.0), lavaan

Suggests

knitr, rmarkdown, testthat, covr, plotly, GPArotation

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