multifear: Multiverse Analyses for Conditioning Data

A suite of functions for performing analyses, based on a multiverse approach, for conditioning data. Specifically, given the appropriate data, the functions are able to perform t-tests, analyses of variance, and mixed models for the provided data and return summary statistics and plots. The function is also able to return for all those tests p-values, confidence intervals, and Bayes factors. The methods are described in Lonsdorf, Gerlicher, Klingelhofer-Jens, & Krypotos <doi:10.31234/osf.io/2z6pd>.

Version: 0.1.2
Depends: R (≥ 3.6.0)
Imports: dplyr (≥ 0.8.4), purrr (≥ 0.3.3), stats (≥ 3.6.2), ez (≥ 4.4.0), stringr (≥ 1.4.0), reshape2 (≥ 1.4.3), tibble (≥ 2.1.3), ggplot2 (≥ 3.2.1), effsize (≥ 0.7.8), nlme (≥ 3.1.144), BayesFactor (≥ 0.9.12.4.2), bayestestR (≥ 0.10.0), broom (≥ 0.5.5), effectsize (≥ 0.4.1), esc (≥ 0.5.1), forestplot (≥ 1.10), bootstrap (≥ 2019.6)
Suggests: gridExtra (≥ 2.3), fastDummies (≥ 1.6.1), vctrs (≥ 0.3.1), tidyselect (≥ 1.0.0), tidyr (≥ 1.0.2), plyr (≥ 1.8.6), ggraph (≥ 2.0.1), igraph (≥ 1.2.4.2), testthat (≥ 2.1.0), cowplot (≥ 1.0.0), covr
Published: 2021-06-01
Author: Angelos-Miltiadis Krypotos [aut, cre, cph]
Maintainer: Angelos-Miltiadis Krypotos <amkrypotos at gmail.com>
BugReports: https://github.com/AngelosPsy/multifear/issues
License: GPL-3
URL: https://github.com/AngelosPsy/multifear
NeedsCompilation: no
Materials: README NEWS
CRAN checks: multifear results

Downloads:

Reference manual: multifear.pdf
Package source: multifear_0.1.2.tar.gz
Windows binaries: r-devel: multifear_0.1.2.zip, r-release: multifear_0.1.2.zip, r-oldrel: multifear_0.1.2.zip
macOS binaries: r-release (arm64): multifear_0.1.2.tgz, r-release (x86_64): multifear_0.1.2.tgz, r-oldrel: multifear_0.1.2.tgz
Old sources: multifear archive

Linking:

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