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bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests Cover

bayest: An R Package for Effect-Size Targeted Bayesian Two-Sample t-Tests

Journal of Open Research Software
Volume 8 (2020): Issue 1
By: Riko Kelter  
Open Access
|Jun 2020
Figures & tables

Figures & Tables

Figure 1

Posterior distribution of the effect size δ and ROPE-Analysis for Student’s sleep data.

Figure 2

(a) Posterior distribution, traceplot, Gelman-Rubin-diagnostic and autocorrelation for μ2–μ1. (b) Posterior distribution, traceplot, Gelman-Rubin-diagnostic and autocorrelation for σ2–σ1.

DOI: https://doi.org/10.5334/jors.290 | Journal eISSN: 2049-9647
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Language: English
Submitted on: Aug 6, 2019
Accepted on: May 14, 2020
Published on: Jun 15, 2020
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
two-sample t-test,
effect size,
treatment effect between two groups,
Markov-Chain-Monte-Carlo,
Bayesian statistics

© 2020 Riko Kelter, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 8 (2020): Issue 1
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