Get startedGet started for free

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

View Course

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
Edit and Run Code