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Changing Priors

Now let's change the prior distributions for our Spotify model. Changing the priors allows us to specify our own beliefs about the expected values of the parameters. 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
  • Create a model, flat_prior that uses flat priors for all parameters
  • Print a summary of the prior distributions to the screen

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Estimate a model with flat priors
flat_prior <- stan_glm(___, data = ___,
    ___ = ___, ___ = ___, ___ = ___)

# Print a prior summary
___(flat_prior)
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