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 LOO-IC of models fitted with 'brms' and following Yao et al. (2017, <doi:10.48550/arXiv.1704.02030>).
Version: 0.2.0 Depends: R (≥ 3.3.0) Imports: brms, lme4, dplyr, magrittr, tidyr, ggplot2, rlang, foreach, doParallel, cowplot Suggests: knitr, rmarkdown Published: 2017-12-10 DOI: 10.32614/CRAN.package.ESTER Author: Ladislas Nalborczyk [aut, cre] Maintainer: Ladislas Nalborczyk <ladislas.nalborczyk at gmail.com> BugReports: https://github.com/lnalborczyk/ESTER/issues License: MIT + file LICENSE URL: https://github.com/lnalborczyk/ESTER NeedsCompilation: no Materials: README NEWS CRAN checks: ESTER results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=ESTER to link to this page.
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