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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

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Exercise instructions

  • Predict popularity from song_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)
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