multifear: Multiverse Analyses for Conditioning Data (original) (raw)
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 |
| 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 |
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