Figure 2.

Quantile–quantile plots describing the distributions of the estimated slopes from (A) ordinary least squares regression and posterior estimated slopes from the (B) Gaussian, (C) Student t, and (D) log-gamma Bayesian linear mixed models. Ordinary least squares and Student’s t models demonstrated a greater range of slopes with more positive and negative extreme values, whereas the Gaussian model demonstrated a more normal distribution with shrinkage toward the mean. The log-gamma model demonstrated more extreme negative values, reflecting a left-skewed distribution.