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, <arXiv:1704.02030v3>).
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 |
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 |
Reference manual: | ESTER.pdf |
Vignettes: |
Efficient Sequential Testing with Evidence Ratios |
Package source: | ESTER_0.2.0.tar.gz |
Windows binaries: | r-devel: ESTER_0.2.0.zip, r-release: ESTER_0.2.0.zip, r-oldrel: ESTER_0.2.0.zip |
macOS binaries: | r-release: ESTER_0.2.0.tgz, r-oldrel: ESTER_0.2.0.tgz |
Old sources: | ESTER archive |
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