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: 4.0-1
Depends: R (≥ 2.0), MASS, utils
Published: 2017-08-01
Author: Kosuke Imai [aut], Ying Lu [aut, cre], Aaron Strauss [aut], Hubert Jin [ctb]
Maintainer: Ying Lu < at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: eco citation info
Materials: ChangeLog
In views: Bayesian, Environmetrics
CRAN checks: eco results


Reference manual: eco.pdf
Package source: eco_4.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: eco_4.0-1.tgz, r-oldrel: eco_4.0-1.tgz
Old sources: eco archive

Reverse dependencies:

Reverse imports: eiPartialID


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