eco: Ecological Inference in 2x2 Tables
Version 3.1-7

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.

Getting started

Package details

AuthorKosuke Imai <kimai@princeton.edu>, Ying Lu <yl46@nyu.edu>, Aaron B Strauss <aaronbstrauss@gmail.com>.
Date of publication2015-03-19 09:46:08
MaintainerYing Lu <yl46@nyu.edu>
LicenseGPL (>= 2)
Version3.1-7
URL http://imai.princeton.edu/software/eco.html
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("eco")

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eco documentation built on May 30, 2017, 5:35 a.m.