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eco is a publicly available R package that implements the
Bayesian and likelihood methods proposed in Imai, Lu, and Strauss
(2008)
for ecological inference in $2 \times 2$ 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.
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The current version is 3.1-4 (built on 07/12/09) which runs on R
2.0.0 and higher. The source code is available for download from
The Comprehensive R Archive Network (CRAN)
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Regardless of one's operating system, the software can be installed by typing the following command at R
prompt: > install.packages("eco") This will install the latest version from CRAN. |
The complete documentation is available in
pdf
format. The software also comes with standard R help files.
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