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, <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 ORCID iD [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

Downloads:

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
OS X binaries: r-release: ESTER_0.2.0.tgz, r-oldrel: ESTER_0.2.0.tgz
Old sources: ESTER archive

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