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-x86_64)VBel_1.1.7.zip(r-4.7-arm64)VBel_1.1.7.zip(r-4.6-x86_64)VBel_1.1.7.zip(r-4.6-arm64)VBel_1.1.7.zip(r-4.5-x86_64)
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✨
DESCRIPTION |NEWS
card.svg |card.png
VBel/json (API)

# 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:

Conda:

cpp

3.18 score 3 stars 5 scripts 225 downloads 3 exports 2 dependencies

Last updated from:d90e4bae2c. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK153
linux-devel-x86_64OK132
source / vignettesOK187
linux-release-arm64OK116
linux-release-x86_64OK137
macos-release-arm64OK142
macos-release-x86_64OK412
macos-oldrel-arm64OK219
macos-oldrel-x86_64OK344
windows-devel-arm64OK331
windows-devel-x86_64OK149
windows-release-arm64OK324
windows-release-x86_64OK105
windows-oldrel-x86_64OK107
wasm-releaseOK120

Exports:compute_AELcompute_GVAdiagnostic_plot

Dependencies:RcppRcppEigen