Discover and read the best of Twitter Threads about #rstanarm

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1/ Bayesian inference is a powerful statistical framework that allows us to estimate the probability distribution of parameters based on data and prior knowledge. And R has a variety of packages for implementing Bayesian analysis! #rstats #datascience #Bayesian
2/ First up, there's 'rstan', which provides R interfaces to the popular Stan modeling language. It includes a suite of powerful algorithms for Bayesian inference, including Markov Chain Monte Carlo (MCMC) sampling and Variational Bayes (VB). #rstats #stan
3/ Another popular R package for Bayesian analysis is 'JAGS', which stands for Just Another Gibbs Sampler. It's an alternative to Stan that uses a different MCMC algorithm, and can be easier to use for some types of models. #rstats #JAGS
Read 7 tweets
Pleased to announce that #tidybayes v2.0 (SLABS FOR DAYS edition) hit CRAN today. #rstats

Lots of new stuff in this version: A THREAD
The biggest thing is the new slab+interval meta-geom, generalizing old #tidybayes geoms and enabling a bunch of new ones. This is a flexible FAMILY of #ggplot geoms for visualizing probability distributions and uncertainty using slabs (densities, cdfs, etc), points, and intervals
The slab+interval meta-geom now drives old standards like eyes and half-eyes...
Read 18 tweets
1/n
Someone asked me recently what resources I’d recommend for furthering one’s introduction to Bayesian statistics after going through @rlmcelreath's text (xcelab.net/rm/statistical…) and my accompanying project (bookdown.org/connect/#/apps…).

Here are my thoughts:
2/n
It probably goes without saying, but just in case you missed it, make sure you check out McElreath’s lectures on his text, too youtube.com/channel/UCNJK6…. He has three semester’s worth and they’re overall really great.
3/n
And plus, I also like his sand-alone lecture on “Bayesian Statistics without Frequentist Language” . It’s more conceptual than applied, but we could all probably do with a little more philosophy of statistics in our lives.
Read 18 tweets

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