Package: DEBBI 0.1.0
DEBBI: Differential Evolution-Based Bayesian Inference
Bayesian inference algorithms based on the population-based "differential evolution" (DE) algorithm. Users can obtain posterior mode (MAP) estimates via DEMAP, posterior samples via DEMCMC, and variational approximations via DEVI.
Authors:
DEBBI_0.1.0.tar.gz
DEBBI_0.1.0.zip(r-4.5)DEBBI_0.1.0.zip(r-4.4)DEBBI_0.1.0.zip(r-4.3)
DEBBI_0.1.0.tgz(r-4.4-any)DEBBI_0.1.0.tgz(r-4.3-any)
DEBBI_0.1.0.tar.gz(r-4.5-noble)DEBBI_0.1.0.tar.gz(r-4.4-noble)
DEBBI_0.1.0.tgz(r-4.4-emscripten)DEBBI_0.1.0.tgz(r-4.3-emscripten)
DEBBI.pdf |DEBBI.html✨
DEBBI/json (API)
NEWS
# Install 'DEBBI' in R: |
install.packages('DEBBI', repos = c('https://bmgaldo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bmgaldo/debbi/issues
Last updated 2 years agofrom:43be0289d3. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 13 2024 |
R-4.5-win | OK | Oct 13 2024 |
R-4.5-linux | OK | Oct 13 2024 |
R-4.4-win | OK | Oct 13 2024 |
R-4.4-mac | OK | Oct 13 2024 |
R-4.3-win | OK | Oct 13 2024 |
R-4.3-mac | OK | Oct 13 2024 |
Exports:AlgoParamsDEMAPAlgoParamsDEMCMCAlgoParamsDEVIDEMAPDEMCMCDEVI
Dependencies:codetoolsdoParallelforeachiteratorsnumDerivrandtoolboxrngWELL
Readme and manuals
Help Manual
Help page | Topics |
---|---|
AlgoParamsDEMAP | AlgoParamsDEMAP |
AlgoParamsDEMCMC | AlgoParamsDEMCMC |
AlgoParamsDEVI | AlgoParamsDEVI |
DEMAP | DEMAP |
DEMCMC | DEMCMC |
DEVI | DEVI |