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 + file LICENSE
URL:	https://github.com/lnalborczyk/ESTER
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	ESTER results

Documentation:

Reference manual:	ESTER.pdf
Vignettes:	Efficient Sequential Testing with Evidence Ratios

Downloads:

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 (arm64): ESTER_0.2.0.tgz, r-oldrel (arm64): ESTER_0.2.0.tgz, r-release (x86_64): ESTER_0.2.0.tgz, r-oldrel (x86_64): ESTER_0.2.0.tgz
Old sources:	ESTER archive

Linking:

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