Other packages > Find by keyword >

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 29 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited abcel R package
View abcel citation profile
Other R packages that abcel depends, imports, suggests or enhances
Complete documentation for abcel
Functions, R codes and Examples using the abcel R package
Full abcel package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
binovisualfields  
Depth-Dependent Binocular Visual Fields Simulation
Simulation and visualization depth-dependent integrated visual fields. Visual fields are measured mo ...
Download / Learn more Package Citations See dependency  
fastRG  
Sample Generalized Random Dot Product Graphs in Linear Time
Samples generalized random product graphs, a generalization of a broad class of network models. Giv ...
Download / Learn more Package Citations See dependency  
GEVcdn  
GEV Conditional Density Estimation Network
Implements a flexible nonlinear modelling framework for nonstationary generalized extreme value anal ...
Download / Learn more Package Citations See dependency  
personalized2part  
Two-Part Estimation of Treatment Rules for Semi-Continuous Data
Implements the methodology of Huling, Smith, and Chen (2020) , w ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA