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yodel: A General Bayesian Model Averaging Helper (original) (raw)

Provides helper functions to perform Bayesian model averaging using Markov chain Monte Carlo samples from separate models. Calculates weights and obtains draws from the model-averaged posterior for quantities of interest specified by the user. Weight calculations can be done using marginal likelihoods or log-predictive likelihoods as in Ando, T., & Tsay, R. (2010) <doi:10.1016/j.ijforecast.2009.08.001>.

Version: 1.0.0
Imports: dplyr (≥ 1.0), purrr (≥ 0.3), rlang (≥ 0.4)
Suggests: testthat
Published: 2024-04-16
DOI: 10.32614/CRAN.package.yodel
Author: Richard Payne [aut, cre], Eli Lilly and Company [cph]
Maintainer: Richard Payne
License: MIT + file
URL: https://github.com/rich-payne/yodel
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: yodel results

Documentation:

Reference manual: yodel.html , <yodel.pdf>

Downloads:

Package source: yodel_1.0.0.tar.gz
Windows binaries: r-devel: yodel_1.0.0.zip, r-release: yodel_1.0.0.zip, r-oldrel: yodel_1.0.0.zip
macOS binaries: r-release (arm64): yodel_1.0.0.tgz, r-oldrel (arm64): yodel_1.0.0.tgz, r-release (x86_64): yodel_1.0.0.tgz, r-oldrel (x86_64): yodel_1.0.0.tgz

Reverse dependencies:

Reverse imports: beaver

Linking:

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