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:Brendan Matthew Galdo [aut, cre]

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'))

Peer review:

Bug tracker:https://github.com/bmgaldo/debbi/issues

On CRAN:

2.70 score 1 scripts 127 downloads 6 exports 7 dependencies

Last updated 2 years agofrom:43be0289d3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-winOKOct 13 2024
R-4.5-linuxOKOct 13 2024
R-4.4-winOKOct 13 2024
R-4.4-macOKOct 13 2024
R-4.3-winOKOct 13 2024
R-4.3-macOKOct 13 2024

Exports:AlgoParamsDEMAPAlgoParamsDEMCMCAlgoParamsDEVIDEMAPDEMCMCDEVI

Dependencies:codetoolsdoParallelforeachiteratorsnumDerivrandtoolboxrngWELL

Readme and manuals

Help Manual

Help pageTopics
AlgoParamsDEMAPAlgoParamsDEMAP
AlgoParamsDEMCMCAlgoParamsDEMCMC
AlgoParamsDEVIAlgoParamsDEVI
DEMAPDEMAP
DEMCMCDEMCMC
DEVIDEVI