Package: VBel 1.1.7

Weichang Yu

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:Weichang Yu [aut, cre], Jeremy Lim [aut]

VBel_1.1.7.tar.gz
VBel_1.1.7.zip(r-4.7)VBel_1.1.7.zip(r-4.6)VBel_1.1.7.zip(r-4.5)
VBel_1.1.7.tgz(r-4.6-x86_64)VBel_1.1.7.tgz(r-4.6-arm64)VBel_1.1.7.tgz(r-4.5-x86_64)VBel_1.1.7.tgz(r-4.5-arm64)
VBel_1.1.7.tar.gz(r-4.7-arm64)VBel_1.1.7.tar.gz(r-4.7-x86_64)VBel_1.1.7.tar.gz(r-4.6-arm64)VBel_1.1.7.tar.gz(r-4.6-x86_64)
VBel_1.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
VBel/json (API)
NEWS

# Install 'VBel' in R:

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

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

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

3.18 score 3 stars 5 scripts 155 downloads 3 exports 2 dependencies

Last updated from:d90e4bae2c. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	130
linux-devel-x86_64	OK	129
source / vignettes	OK	160
linux-release-arm64	OK	120
linux-release-x86_64	OK	130
macos-release-arm64	OK	191
macos-release-x86_64	OK	226
macos-oldrel-arm64	OK	223
macos-oldrel-x86_64	OK	222
windows-devel	OK	115
windows-release	OK	165
windows-oldrel	OK	104
wasm-release	OK	107

Exports:compute_AEL compute_GVA diagnostic_plot

Dependencies:Rcpp RcppEigen

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Variational Bayes for Fast and Accurate Empirical Likelihood Inference	VBel-package VBel
Compute the Adjusted Empirical Likelihood	compute_AEL
Compute the Full-Covariance Gaussian VB Empirical Likelihood Posterior	compute_GVA
Check the convergence of a data set computed by 'compute_GVA'	diagnostic_plot