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VBel: Variational Bayes for Fast and Accurate Empirical Likelihood Inference

Computes the Gaussian variational approximation of the Bayesian empirical likelihood posterior. This is an implementation of the function found in Yu, W., & Bondell, H. D. (2023) <doi:10.1080/01621459.2023.2169701>.

Version: 1.1.0
Imports: Rcpp (≥ 1.0.12), stats
LinkingTo: Rcpp, RcppEigen
Suggests: mvtnorm, testthat (≥ 3.0.0)
Published: 2024-12-05
DOI: 10.32614/CRAN.package.VBel
Author: Weichang Yu ORCID iD [aut], Jeremy Lim [cre, aut]
Maintainer: Jeremy Lim <jeremy.lim at unimelb.edu.au>
BugReports: https://github.com/jlimrasc/VBel/issues
License: GPL (≥ 3)
URL: https://github.com/jlimrasc/VBel
NeedsCompilation: yes
Materials: README
CRAN checks: VBel results

Documentation:

Reference manual: VBel.pdf

Downloads:

Package source: VBel_1.1.0.tar.gz
Windows binaries: r-devel: VBel_1.1.0.zip, r-release: VBel_1.1.0.zip, r-oldrel: VBel_1.1.0.zip
macOS binaries: r-release (arm64): VBel_1.1.0.tgz, r-oldrel (arm64): VBel_1.1.0.tgz, r-release (x86_64): VBel_1.1.0.tgz, r-oldrel (x86_64): VBel_1.1.0.tgz
Old sources: VBel archive

Linking:

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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.