eco: Ecological Inference in 2x2 Tables

Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 <doi:10.1093/pan/mpm017>) and (2011 <doi:10.18637/jss.v042.i05>) for ecological inference in 2 by 2 tables as well as the method of bounds introduced by Duncan and Davis (1953). The package fits both parametric and nonparametric models using either the Expectation-Maximization algorithms (for likelihood models) or the Markov chain Monte Carlo algorithms (for Bayesian models). For all models, the individual-level data can be directly incorporated into the estimation whenever such data are available. Along with in-sample and out-of-sample predictions, the package also provides a functionality which allows one to quantify the effect of data aggregation on parameter estimation and hypothesis testing under the parametric likelihood models.

Version:	4.0-5
Depends:	R (≥ 2.0), MASS, utils
Suggests:	testthat
Published:	2025-10-23
DOI:	10.32614/CRAN.package.eco
Author:	Kosuke Imai [aut, cre], Ying Lu [aut], Aaron Strauss [aut], Hubert Jin [ctb]
Maintainer:	Kosuke Imai <imai at Harvard.Edu>
BugReports:	https://github.com/kosukeimai/eco/issues
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL:	https://github.com/kosukeimai/eco
NeedsCompilation:	yes
Citation:	eco citation info
Materials:	ChangeLog
CRAN checks:	eco results

Documentation:

Reference manual:

eco.html , eco.pdf

Downloads:

Package source:	eco_4.0-5.tar.gz
Windows binaries:	r-devel: eco_4.0-4.zip, r-release: eco_4.0-5.zip, r-oldrel: eco_4.0-5.zip
macOS binaries:	r-release (arm64): eco_4.0-5.tgz, r-oldrel (arm64): eco_4.0-5.tgz, r-release (x86_64): eco_4.0-5.tgz, r-oldrel (x86_64): eco_4.0-5.tgz
Old sources:	eco archive

Linking:

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