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 (2022) <doi:10.1016/j.brat.2022.104072>.
| Version: | 0.1.4 |
| Depends: | R (≥ 4.0.0) |
| 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),fastDummies,rlang |
| Suggests: | gridExtra (≥ 2.3),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,spelling,knitr,rmarkdown |
| Published: | 2025-06-11 |
| DOI: | 10.32614/CRAN.package.multifear |
| 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 |
| Language: | en-US |
| Citation: | multifear citation info |
| Materials: | README,NEWS |
| CRAN checks: | multifear results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=multifearto link to this page.