ESTER (0.2.0)

0 users

Efficient Sequential Testing with Evidence Ratios.

https://github.com/lnalborczyk/ESTER
http://cran.r-project.org/web/packages/ESTER

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, ) 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, ).

Maintainer: Ladislas Nalborczyk
Author(s): Ladislas Nalborczyk [aut, cre] (0000-0002-7419-9855)

License: MIT + file LICENSE

Uses: brms, cowplot, doParallel, dplyr, foreach, ggplot2, lme4, magrittr, rlang, tidyr, knitr, rmarkdown

Released over 1 year ago.


1 previous version

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of ESTER yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for ESTER on google, google scholar, r-help, r-devel.

Visit ESTER on R Graphical Manual.