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.