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abcel  

Empirical Likelihood-Based Approximate Bayesian Computation
View on CRAN: Click here


Download and install abcel package within the R console
Install from CRAN:
install.packages("abcel")

Install from Github:
library("remotes")
install_github("cran/abcel")

Install by package version:
library("remotes")
install_version("abcel", "1.0")



Attach the package and use:
library("abcel")
Maintained by
Sanjay Chaudhuri
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-11-21
Latest Update: 2025-11-21
Description:
Empirical likelihood-based approximate Bayesian Computation.Approximates the required posterior using empirical likelihood and estimated differential entropy.This is achieved without requiring any specification of the likelihood or estimating equations that connects the observations with the underlying parameters. The procedure is known to be posterior consistent.More details can be found in Chaudhuri, Ghosh, and Kim (2024) <doi:10.1002/SAM.11711>.
How to cite:
Sanjay Chaudhuri (2025). abcel: Empirical Likelihood-Based Approximate Bayesian Computation. R package version 1.0, https://cran.r-project.org/web/packages/abcel. Accessed 05 Jun. 2026.
Previous versions and publish date:
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View abcel citation profile
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Complete documentation for abcel
Functions, R codes and Examples using the abcel R package
Full abcel package functions and examples
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