Explore using the Beta distribution as a prior
The Beta distribution is a useful probability distribution when you want model uncertainty over a parameter bounded between 0 and 1. Here you'll explore how the two parameters of the Beta distribution determine its shape.
This exercise is part of the course
Fundamentals of Bayesian Data Analysis in R
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Explore using the rbeta function
beta_sample <- rbeta(n = 1000000, shape1 = 1, shape2 = 1)
# Visualize the results