Package: abcel
Title: Empirical Likelihood-Based Approximate Bayesian Computation
Version: 1.0
Authors@R: 
    c(person(given = "Nicholas",
           family = "Chua",
           role = c("aut"),
           email = "nicholaschua_kb@u.nus.edu"),
      person(given = "Riddhimoy",
           family = "Ghosh",
           role = c("aut"),
           email = "rghosh3@unl.edu"),   
      person(given = "Sanjay",
           family = "Chaudhuri",
           role = c("aut", "cre"),
           email = "schaudhuri2@unl.edu"))
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>.
License: GPL-2
Encoding: UTF-8
RoxygenNote: 7.3.3
Imports: MASS, emplik, methods, FNN, corpcor
NeedsCompilation: yes
Packaged: 2026-09-23 09:00:18 UTC; root
Author: Nicholas Chua [aut], Riddhimoy Ghosh [aut], Sanjay Chaudhuri
        [aut, cre]
Maintainer: Sanjay Chaudhuri <schaudhuri2@unl.edu>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-11-21 14:40:02 UTC
RemoteUrl: https://github.com/cran/abcel
RemoteRef: HEAD
RemoteSha: b9f60f8f89a87ade0840e2934ee1218906f10ff7