Package: multifear
Type: Package
Title: Multiverse Analyses for Conditioning Data
Version: 0.1.3
Authors@R: 
    c(person(given = "Angelos-Miltiadis",
             family = "Krypotos",
             role = c("aut", "cre", "cph"),
             email = "amkrypotos@gmail.com"))
Maintainer: Angelos-Miltiadis Krypotos <amkrypotos@gmail.com>
Description: 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 (2022) <doi:10.1016/j.brat.2022.104072>.
Depends: R (>= 3.6.3)
License: GPL-3
LazyData: true
Encoding: UTF-8
URL: https://github.com/AngelosPsy/multifear
BugReports: https://github.com/AngelosPsy/multifear/issues
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)
RoxygenNote: 7.2.3
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), testthat (>= 2.1.0), cowplot (>= 1.0.0),
        covr, knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-09-23 18:54:03 UTC; angeloskrypotos
Author: Angelos-Miltiadis Krypotos [aut, cre, cph]
Repository: CRAN
Date/Publication: 2023-09-23 19:50:02 UTC
