If I am a toddler in my #statistics development, then I could be said to be a baby in #Rstats, but I haven't even had my umbilical cord cut in #bayes. I installed #rstan this morning, then ran the schools.stan example.

My laptop didn't seem to do anything so I assumed that I had installed incorrectly and so went to make a cup of tea.

Imagine my surprise when I returned to a screen full of all sorts of stuff.

I am the noobiest of noobs. A lot to learn!

Trying to work out the simplest way to find out if my team’s Windows permissions allow them to compile Stan models. Have assumed that compiling models is like compiling packages (is that a good assumption?)
I've come up with:
1. Install Rtools (cran.ma.imperial.ac.uk/bin/windows/Rtools)
2. > install.packages("devtools")
3. Find a small, intriguing package: BRRR
4. > devtools::install_github("brooke-watson/BRRR", build = TRUE)
#Rstats #R #Rstan

You've heard about Stan and want to learn some more? Maybe you're about to step into the Bayesian paradigm and don't know where to start 🤔

In this week's blog post, we'll take a look what you can do with #Stan and draw comparisons to #JAGS!

https://jumpingrivers.com/blog/why-stan/

#DataScience #RStats #Python #RStan #PyStan #Bayesian

Anyone know any good intro resources for #rstan that cover ADVI as well as (or instead of) NUTS?