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DEBBI
View on CRAN: Click
here
Download and install DEBBI package within the R console
Install from CRAN:
install.packages("DEBBI")
Install from Github:
library("remotes")
install_github("cran/DEBBI")
Install by package version:
library("remotes")
install_version("DEBBI", "0.1.0")
Attach the package and use:
library("DEBBI")
Maintained by
Brendan Matthew Galdo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-17
Latest Update: 2022-05-17
Description:
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.
How to cite:
Brendan Matthew Galdo (2022). DEBBI: Differential Evolution-Based Bayesian Inference. R package version 0.1.0, https://cran.r-project.org/web/packages/DEBBI
Previous versions and publish date:
No previous versions
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Other R packages that DEBBI depends,
imports, suggests or enhances
Functions, R codes and Examples using
the DEBBI R package
Some associated functions: AlgoParamsDEMAP . AlgoParamsDEMCMC . AlgoParamsDEVI . DEMAP . DEMCMC . DEVI .
Some associated R codes: AlgoParamsDEMAP.R . AlgoParamsDEMCMC.R . AlgoParamsDEVI.R . CrossoverMC.R . CrossoverOptimize.R . CrossoverVI.R . DEMAP.R . DEMCMC.R . DEVI.R . ELBO.R . KLHat.R . KLHatForLRVB.R . PurifyMC.R . PurifyVI.R . QLog.R . QSample.R . Full DEBBI package functions and examples
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