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Unadjusted Priors

Now let's specify a model that doesn't use adjusted scales for prior distributions, so that we alter rstanarm default behavior. This will allow us to have more direct control over the information going into the estimation. The songs data is already loaded.

Diese Übung ist Teil des Kurses

Bayesian Regression Modeling with rstanarm

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Anleitung zur Übung

  • Predict popularity from song_age
  • Tell rstanarm not to autoscale the parameters
  • Print a prior summary to confirm there was no adjustment

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Estimate the model with unadjusted scales
no_scale <- stan_glm(popularity ~ song_age, data = songs,
    ___ = normal(___ = FALSE),
    ___ = normal(___ = FALSE),
    ___ = exponential(___ = FALSE)
)

# Print the prior summary
___(no_scale)
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