Maximum likelihood estimation (MLE) was obtained for combinations of molecular clocks and demographic models using the Path sampling (PS) and Stepping-stone (SS) sampling and compared using Bayes Fact
Posterior distribution quantile summaries for BNPR-PS with no covariates (model: {γ(t)}, first row) and BNPR-PS with an ordinary covariate (model: {γ(t), −t}, second and third rows).
