ESTER (0.2.0)

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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, ) recommendations, or to pseudo-BMA weights computed from the WAIC or the LOO-IC of models fitted with 'brms' and following Yao et al. (2017, ).

Maintainer: Ladislas Nalborczyk
Author(s): Ladislas Nalborczyk [aut, cre] (0000-0002-7419-9855)

License: MIT + file LICENSE

Uses: brms, cowplot, doParallel, dplyr, foreach, ggplot2, lme4, magrittr, rlang, tidyr, knitr, rmarkdown

Released over 1 year ago.

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