{VisCollin} is a relatively new package from @datavisFriendly. VIF is used to detect the presence of multicollinearity among predictors, but it doesn't tell you which variables are collinear with which. Variance Decomposition Proportions can help with that. This package provides functions to calculate and visualize these proportions. Friendly also has a nice multicollinearity tutorial on the homepage. #r #rstats
https://friendly.github.io/VisCollin/
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Second time seeing these diamond plots. There's a little bit of visual friction with the rotated grid, but I don't think it's too bad of a trade-off for when you have long axis labels. Angled tick labels and region labeling/color coding can help as well. #rstats
538, https://fivethirtyeight.com/features/the-moderate-middle-is-a-myth/
Owen Phillips w/code, https://thef5.substack.com/p/how-to-diamond-plots-in-r
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Paul Bürkner, author of {brms}, has started a book, Applied Bayesian Regression Modelling Using R and Stan. #Rstats
http://paulbuerkner.com/software/brms-book/
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@kev Getting towards the end of book 3 of the Saga of the Forgotten Warrior series and I'm really enjoying it. Had just finished Sanderson's Cosmere books and was having a little difficulty finding my next series. Luckily I found your rec in my bookmarks. Just wanted to say, thanks.
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