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eco (version 3.1-5)
R Package for Ecological Inference in 2x2 Tables
Description
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.