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:
VBel_1.0.1.tar.gz
VBel_1.0.1.zip(r-4.5)VBel_1.0.1.zip(r-4.4)VBel_1.0.1.zip(r-4.3)
VBel_1.0.1.tgz(r-4.5-x86_64)VBel_1.0.1.tgz(r-4.5-arm64)VBel_1.0.1.tgz(r-4.4-x86_64)VBel_1.0.1.tgz(r-4.4-arm64)VBel_1.0.1.tgz(r-4.3-x86_64)VBel_1.0.1.tgz(r-4.3-arm64)
VBel_1.0.1.tar.gz(r-4.5-noble)VBel_1.0.1.tar.gz(r-4.4-noble)
VBel_1.0.1.tgz(r-4.4-emscripten)VBel_1.0.1.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/jlimrasc/vbel/issues
Last updated 10 months agofrom:bf6f67f295. Checks:12 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 27 2025 |
| R-4.5-win-x86_64 | OK | Mar 27 2025 |
| R-4.5-mac-x86_64 | OK | Mar 27 2025 |
| R-4.5-mac-aarch64 | OK | Mar 27 2025 |
| R-4.5-linux-x86_64 | OK | Mar 27 2025 |
| R-4.4-win-x86_64 | OK | Mar 27 2025 |
| R-4.4-mac-x86_64 | OK | Mar 27 2025 |
| R-4.4-mac-aarch64 | OK | Mar 27 2025 |
| R-4.4-linux-x86_64 | OK | Mar 27 2025 |
| R-4.3-win-x86_64 | OK | Mar 27 2025 |
| R-4.3-mac-x86_64 | OK | Mar 27 2025 |
| R-4.3-mac-aarch64 | OK | Mar 27 2025 |
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 |
