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.
Bu egzersiz
Bayesian Regression Modeling with rstanarm
kursunun bir parçasıdırEgzersiz talimatları
- Predict
popularityfromsong_age - Tell
rstanarmnot to autoscale the parameters - Print a prior summary to confirm there was no adjustment
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# 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)