Bayesian Statistics, Data Science, Linear Regression, Data Analysis, R.
priors from brms. In a real modeling context, it may be wiser to choose better priors. # Define the Bayesian model with the averaged data Average_Fit <- brm(AverageTimeSpent ~ Group, data = averaged_data, family = gaussian(), seed = 8807, control = list(adapt_delta = 0.99), # This is to save the