This package is considered a duplicate. The official version of this package is found at:https://jlimrasc.r-universe.dev/VBel
Package: VBel 1.1.0
Jeremy Lim
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:
VBel_1.1.0.tar.gz
VBel_1.1.0.tar.gz(r-4.5-noble)VBel_1.1.0.tar.gz(r-4.4-noble)
VBel_1.1.0.tgz(r-4.4-emscripten)VBel_1.1.0.tgz(r-4.3-emscripten)
VBel.pdf |VBel.html✨
VBel/json (API)
| # Install 'VBel' in R: |
| install.packages('VBel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jlimrasc/vbel/issues
Last updated 21 days agofrom:62ee583d15. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 05 2024 |
| R-4.5-linux-x86_64 | OK | Dec 05 2024 |
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 |
