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https://github.com/kosukeimai/eco
R package eco
https://github.com/kosukeimai/eco
Last synced: about 2 months ago
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R package eco
- Host: GitHub
- URL: https://github.com/kosukeimai/eco
- Owner: kosukeimai
- Created: 2017-03-14T13:34:59.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-06-23T17:26:05.000Z (3 months ago)
- Last Synced: 2024-06-24T03:13:48.752Z (3 months ago)
- Language: C
- Size: 1.13 MB
- Stars: 5
- Watchers: 5
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: ChangeLog
Awesome Lists containing this project
README
# R package eco [![Build Status](https://travis-ci.org/kosukeimai/eco.svg?branch=master)](https://travis-ci.org/kosukeimai/eco) [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/eco)](https://cran.r-project.org/package=eco) ![CRAN downloads](http://cranlogs.r-pkg.org/badges/grand-total/eco)
## eco: Ecological inference in 2 x 2 TablesWe 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.