Similarly, you may need to uninstall other packages that are both in the User and System library – the duplicates can interfere with RStan. You will need to uninstall ggplot2 from your User library by clicking the x to the right of that package. The packages tab at lower right includes both a “User library” that includes packages you’ve installed on the server and a “System library” that includes packages that ITS pre-installed for you.Within that session, look at the top right of the screen to confirm that your session is in R version 4.1.0.Within RStudio, go to your home page by clicking the home icon at top right.Log in using the same info as your Mac email. If you’re planning to use Macalester’s RStudio server, or are having difficulties installing RStan on your own machine: NOTE: It’s important to have R version 4.x.x before trying to install RStan. If you’re planning to use your own desktop version of RStudio, carefully follow these RStan install instructions. There are two options for installing RStan: Probability, Conditional Probability & Independence.20.2.2 Random intercepts and slopes model.17.3 Exercises part 2: a no pooled model.17.2 Exercises part 1: a complete pooled model.17 Get excited about hierarchical models.16 Welcome back: regression & classification review.14.2.1 Part 1: Simulate and analyze the model.13 Poisson & Negative Binomial regression.12.1 Simulating & checking the prior models.III Bayesian Regression & Classification.7 Posterior estimation & hypothesis testing.2 Bayes’ Rule: Thinking like a Bayesian.
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