DESCRIPTION

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