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.
| Version: | 3.1-7 |
| Depends: | R (≥ 2.0), MASS, utils |
| Published: | 2015-03-19 |
| Author: | Kosuke Imai, Ying Lu, Aaron B Strauss. |
| Maintainer: | Ying Lu <yl46 at nyu.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://imai.princeton.edu/software/eco.html |
| NeedsCompilation: | yes |
| Citation: | eco citation info |
| Materials: | ChangeLog |
| In views: | Bayesian, Environmetrics |
| CRAN checks: | eco results |
| Reference manual: | eco.pdf |
| Package source: | eco_3.1-7.tar.gz |
| Windows binaries: | r-devel: eco_3.1-7.zip, r-release: eco_3.1-7.zip, r-oldrel: not available |
| OS X Mavericks binaries: | r-release: eco_3.1-7.tgz, r-oldrel: eco_3.1-7.tgz |
| Old sources: | eco archive |
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