Going over @rlmcelreath's latest book in #rstats. However, I am using #tidyverse tools. So far, I have watched the lectures, completed homework for week 1 and the exercises in chapter 2 of the book. Hope to make it till the end!
Btw, the book is amazing.
david-salazar.github.io/2020/04/19/sta…
Btw, the book is amazing.
david-salazar.github.io/2020/04/19/sta…
Week 2 of Statistical Rethinking! Lectures and homework completed. @rlmcelreath is equal parts entertaining and knowledgeable. Homework made crystal clear how difficult it is to set priors for polynomial models #tidyverse #rstats
david-salazar.github.io/2020/04/28/sta…
david-salazar.github.io/2020/04/28/sta…
Week 3 of Statistical Rethinking! Multiple regression is both useful and dangerous. @rlmcelreath introduces DAGs as a disciplined way to think about which predictors we can and cannot include. The book keeps getting better and better! #tidyverse #rstats
david-salazar.github.io/2020/05/03/sta…
david-salazar.github.io/2020/05/03/sta…
Week 4 was a very interesting!
Week 5, part I, in turn, started with a very necessary discussion about the opaque nature of interaction effects. They are not that easy to interpret. Plot, plot and plot! #rstats #tidyverse
Week 5, part II: once we have HMC in our toolkit, we must take care of our chains. To get some practice doing it while plotting interaction effects, here it's Week 5 homework. As always, @rlmcelreath's metaphors and teaching creativity are amazing #rstats
david-salazar.github.io/2020/05/15/sta…
david-salazar.github.io/2020/05/15/sta…
