# Get Started with Bayesian Analysis

**URL:** https://community.weallcount.com/t/get-started-with-bayesian-analysis/1236
**Category:** Resources
**Tags:** r, bayesian, website
**Created:** [January 20, 2023, 6:53pm UTC](https://community.weallcount.com/t/get-started-with-bayesian-analysis/1236 "2023-01-20T18:53:46Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![Heather](https://community.weallcount.com/user_avatar/community.weallcount.com/heather/32/6_2.png) [@Heather](https://community.weallcount.com/u/Heather)
#### Post date: [January 20, 2023, 6:53pm UTC](https://community.weallcount.com/t/get-started-with-bayesian-analysis/1236/1 "2023-01-20T18:53:46Z")

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Here’s a good place to get started using Bayesian Analysis with R

> **[Get Started with Bayesian Analysis](https://easystats.github.io/bayestestR/articles/bayestestR.html)**
>
> bayestestR

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### Author: ![Hans](https://community.weallcount.com/user_avatar/community.weallcount.com/hans/32/14_2.png) [@Hans](https://community.weallcount.com/u/Hans)
#### Post date: [January 20, 2023, 7:42pm UTC](https://community.weallcount.com/t/get-started-with-bayesian-analysis/1236/2 "2023-01-20T19:42:18Z")

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Citation: 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. [Journal of Open Source Software: bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework](https://doi.org/10.21105/joss.01541)