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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 |
| 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:
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https://CRAN.R-project.org/package=ESTER
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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