In DominiqueMakowski/bayestestR: Understand and Describe Bayesian Models and Posterior Distributions

library(knitr)
options(knitr.kable.NA = "")
knitr::opts_chunk$set(comment = ">", dpi = 75, out.width = "100%")
options(digits = 2)

This vignette can be referred to by citing the following:

• Makowski, D., Ben-Shachar, M. S., \& Lüdecke, D. (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541. https://doi.org/10.21105/joss.01541
• Makowski, D., Ben-Shachar, M. S., Chen, S. H. A., \& Lüdecke, D. (2019). Indices of Effect Existence and Significance in the Bayesian Framework. Frontiers in Psychology 2019;10:2767. 10.3389/fpsyg.2019.02767

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Indices of Effect Existence and Significance in the Bayesian Framework

A comparison of different Bayesian indices (pd, BFs, ROPE etc.) is accessible here.

But, in case you don't wish to read the full article, the following table summarizes the key takeaways!

knitr::include_graphics("https://www.frontiersin.org/files/Articles/498833/fpsyg-10-02767-HTML/image_m/fpsyg-10-02767-t003.jpg")

Suggestions

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DominiqueMakowski/bayestestR documentation built on April 3, 2024, 7:02 p.m.