Nothing
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>).
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Ladislas Nalborczyk [aut, cre] (0000-0002-7419-9855) |
| Maintainer | Ladislas Nalborczyk <ladislas.nalborczyk@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/lnalborczyk/ESTER |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the ESTER package in your browser
Any scripts or data that you put into this service are public.
