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multifear
View on CRAN: Click
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Download and install multifear package within the R console
Install from CRAN:
install.packages("multifear")
Install from Github:
library("remotes")
install_github("cran/multifear") Install by package version:
library("remotes")
install_version("multifear", "0.1.5") Attach the package and use:
library("multifear")
Maintained by
Angelos-Miltiadis Krypotos
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-06
Latest Update: 2025-06-11
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) .
How to cite:
Angelos-Miltiadis Krypotos (2021). multifear: Multiverse Analyses for Conditioning Data. R package version 0.1.5, https://cran.r-project.org/web/packages/multifear. Accessed 18 Sep. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for multifear
Functions, R codes and Examples using
the multifear R package
Some associated functions: bt_test_mf . chop_cs . chop_css . combine_cs . example_data . exclusion_criteria . forestplot_mf . inference_cs . inference_plot . mixed_mf . multiverse_cs . rm_anova_mf . rm_banova_mf . t_test_mf . universe_cs .
Some associated R codes: bt_test_mf.R . chop_cs.R . chop_css.R . combine_cs.R . data.R . exclusion_criteria.R . forestplot_mf.R . inference_cs.R . inference_plot.R . internal.R . mixed_mf.R . multiverse_cs.R . rm_anova_mf.R . rm_banova_mf.R . t_test_mf.R . universe_cs.R . utils.R . Full multifear package functions and examples
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