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Understand and Describe Bayesian Models and Posterior Distributions
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | bayestestR |
Understand and Describe Bayesian Models and Posterior Distributions |
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12 February 2024
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Provides utilities to describe posterior distributions and Bayesian models. It includes point-estimates such as Maximum A Posteriori (MAP), measures of dispersion (Highest Density Interval - HDI; Kruschke, 2015 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing (such as ROPE percentage, pd and Bayes factors). References: Makowski et al. (2021) <doi:10.21105/joss.01541>.
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