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multifear  

Multiverse Analyses for Conditioning Data
View on CRAN: Click here


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", "0.1.3")



Attach the package and use:
library("multifear")
Maintained by
Angelos-Miltiadis Krypotos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-06
Latest Update: 2023-09-23
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 0.1.3, https://cran.r-project.org/web/packages/multifear
Previous versions and publish date:
0.1.1 (2021-04-06 09:30), 0.1.2 (2021-06-01 22:50)
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