Package: VBel 1.0.1

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>.

Authors:Wei-Chang Yu [aut], Jeremy Lim [cre, aut]

VBel_1.0.1.tar.gz
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VBel.pdf |VBel.html
VBel/json (API)

# Install 'VBel' in R:
install.packages('VBel', repos = c('https://jlimrasc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jlimrasc/vbel/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

3.30 score 1 stars 118 downloads 3 exports 2 dependencies

Last updated 6 months agofrom:bf6f67f295. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 28 2024
R-4.5-win-x86_64OKOct 28 2024
R-4.5-linux-x86_64OKOct 28 2024
R-4.4-win-x86_64OKOct 28 2024
R-4.4-mac-x86_64OKOct 28 2024
R-4.4-mac-aarch64OKOct 28 2024
R-4.3-win-x86_64OKOct 28 2024
R-4.3-mac-x86_64OKOct 28 2024
R-4.3-mac-aarch64OKOct 28 2024

Exports:compute_AELcompute_GVAdiagnostic_plot

Dependencies:RcppRcppEigen