Imai, Kosuke, Ying Lu, and Aaron Strauss (Forthcoming).``eco: R Package for Ecological Inference in 2 x 2 Tables'' Journal of Statistical Software.

 

  Abstract

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.

  Current Version

The current version is 3.1-4 (built on 07/12/09) which runs on R 2.0.0 and higher. The source code is available for download from The Comprehensive R Archive Network (CRAN)

  Installation

Regardless of one's operating system, the software can be installed by typing the following command at R prompt:

> install.packages("eco")

This will install the latest version from CRAN.

  Documentation

The complete documentation is available in pdf format. The software also comes with standard R help files.

© Kosuke Imai
Last modified: Mon Jul 13 17:59:20 EDT 2009