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eco (version 3.1-2)
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.