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# Description
While looking into pymc3 I see that they use arviz:
> ArviZ is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, data storage…
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@larryshamalama To summarize the pros and cons for each approach (point-treatment and binary or continuous outcome) and document published packages on their scope and flexibility. In particular, we fo…
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### Description
When using the Bayesian Wilcoxon signed-rank test in JASP, it is not possible to plot a sequential analysis. This is particularly unfortunate because there is - to the best of my know…
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### JASP Version
0.17.2.1
### Commit ID
_No response_
### JASP Module
T-Tests
### What analysis are you seeing the problem on?
Bayesian Independent Samples T-Test
### What OS are you seeing th…
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**Reviewers:**
Submitting Author: Jouni Helske (@helske)
Other Package Authors: (delete if none) Name (@mvihola)
Repository: https://github.com/helske/bssm
Version submitted: 2.0.0
Submission ty…
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# Notebook proposal
**Title**: Confirmatory Factor Analysis and Structural Equation Models
## Why should this notebook be added to pymc-examples?
This fills a gap in the coverage we have of CFA a…
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**Is your feature request related to a problem? Please describe.**
Quantifying ghost ranges is useful for thinking about the sampling completeness of a dataset during exploration.
**Describe the s…
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This has been for me one of the most eye-opening applications of how Bayesian methods can complement reinforcement learning. I'll be sure to go through the source data you've linked and understand how…
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Dear package developers,
thank you very much for providing the R package bayesCT for the simulation of Bayesian adaptive trials! This is much welcome in these times with still grand persisting unme…
jcwie updated
3 years ago
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The Hunter & Schmidt meta-analysis has incorporated analysis of subsets of data but not the Bayesian meta-analysis. Could someone please add that capability? For instance, operational, financial and m…