We implement the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008, 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.
|Author||Kosuke Imai <email@example.com>, Ying Lu <firstname.lastname@example.org>, Aaron B Strauss <email@example.com>.|
|Date of publication||2015-03-19 09:46:08|
|Maintainer||Ying Lu <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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