eco is a publicly available R package that implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (Forthcoming) 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.
| Version: | 3.1-1 |
| Depends: | R (≥ 2.0), MASS |
| Date: | 2007-6-25 |
| Author: | Kosuke Imai, Ying Lu, Aaron Strauss. |
| Maintainer: | Ying Lu <ying.lu at colorado.edu> |
| License: | GPL (version 2 or later) |
| URL: | http://imai.princeton.edu/research/eco.html |
| In views: | Environmetrics |
| CRAN checks: | eco results |
Downloads:
| Package source: | eco_3.1-1.tar.gz |
| MacOS X binary: | eco_3.1-1.tgz |
| Windows binary: | eco_3.1-1.zip |
| Reference manual: | eco.pdf |
| Old sources: | eco archive |