abcel: Empirical Likelihood-Based Approximate Bayesian Computation

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>.

Version:	1.0
Imports:	MASS, emplik, methods, FNN, corpcor
Published:	2025-11-21
DOI:	10.32614/CRAN.package.abcel (may not be active yet)
Author:	Nicholas Chua [aut], Riddhimoy Ghosh [aut], Sanjay Chaudhuri [aut, cre]
Maintainer:	Sanjay Chaudhuri <schaudhuri2 at unl.edu>
License:	GPL-2
NeedsCompilation:	yes
CRAN checks:	abcel results

Documentation:

Reference manual:

abcel.html , abcel.pdf

Downloads:

Package source:	abcel_1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): abcel_1.0.tgz, r-oldrel (arm64): abcel_1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=abcel to link to this page.