Bayesian Statistics, Data Science, Linear Regression, Data Analysis, R.
results of the model. We will use the tidybayes package to do this. First, let’s plot the full posterior distributions: set.seed(8807) averaged_data %>% data_grid(Group) %>% add_predicted_draws(Average_Fit) %>% ggplot(aes(x = Group, y = .prediction, fill = Group)) + stat_halfeye() +