lnalborczyk/ESTER: Efficient Sequential Testing with Evidence Ratios

An implementation of sequential testing that uses evidence ratios computed from the weights of a set of models. These weights correspond either to Akaike weights computed from the Akaike Information Criterion (AIC) or the Bayesian Information Criterion (BIC) and following Burnham & Anderson (2004, <doi:10.1177/0049124104268644>) recommendations, or to pseudo-BMA weights computed from the WAIC or the LOOIC of models fitted with 'brms' and following Yao et al. (2017, <arXiv:1704.02030v3>).

install.packages("remotes")
remotes::install_github("lnalborczyk/ESTER")