Specifying informative priors
Now let's specify a custom prior so that we can have more control over our model. The songs
dataset is already loaded.
This exercise is part of the course
Bayesian Regression Modeling with rstanarm
Exercise instructions
- Predict
popularity
fromsong_age
- Specify a normal prior distribution for the predictor with a mean of 20 and standard deviation of 0.1
- Print the prior summary to the screen
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Estimate the model with an informative prior
inform_prior <- stan_glm(___ ~ ___, data = songs,
___ = normal(___ = 20, ___ = 0.1, autoscale = FALSE))
# Print the prior summary
___(inform_prior)