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 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 + fileLICENSE |
| URL: | https://github.com/lnalborczyk/ESTER |
| NeedsCompilation: | no |
| Materials: | README,NEWS |
| CRAN checks: | ESTER results |
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