Ecological Inference in 2x2 Tables

Implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008 ) and (2011 ) 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.


Reference manual

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4.0-1 by Ying Lu, 2 years ago

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Authors: Kosuke Imai [aut] , Ying Lu [aut, cre] , Aaron Strauss [aut] , Hubert Jin [ctb]

Documentation:   PDF Manual  

Task views: Bayesian Inference, Analysis of Ecological and Environmental Data

GPL (>= 2) license

Depends on MASS, utils

Imported by eiPartialID.

See at CRAN