eco: R Package for Ecological Inference in 2x2 Tables
eco is a publicly available R package that implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008b) for ecological inference in 2 X 2 tables as well as the method of bounds introduced by (Duncan and Davis 1953). The package fits both parametric and nonparametric model...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Foundation for Open Access Statistics
2011-08-01
|
| Series: | Journal of Statistical Software |
| Subjects: | |
| Online Access: | http://www.jstatsoft.org/v42/i05/paper |
| _version_ | 1811257438618255360 |
|---|---|
| author | Kosuke Imai Ying Lu Aaron Strauss |
| author_facet | Kosuke Imai Ying Lu Aaron Strauss |
| author_sort | Kosuke Imai |
| collection | DOAJ |
| description | eco is a publicly available R package that implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008b) for ecological inference in 2 X 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. This paper illustrates the usage of eco with several real data examples that are also part of the package. |
| first_indexed | 2024-04-12T17:57:17Z |
| format | Article |
| id | doaj.art-61ac02e511f64c9ea73542cf262066a4 |
| institution | Directory Open Access Journal |
| issn | 1548-7660 |
| language | English |
| last_indexed | 2024-04-12T17:57:17Z |
| publishDate | 2011-08-01 |
| publisher | Foundation for Open Access Statistics |
| record_format | Article |
| series | Journal of Statistical Software |
| spelling | doaj.art-61ac02e511f64c9ea73542cf262066a42022-12-22T03:22:18ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602011-08-014205eco: R Package for Ecological Inference in 2x2 TablesKosuke ImaiYing LuAaron Strausseco is a publicly available R package that implements the Bayesian and likelihood methods proposed in Imai, Lu, and Strauss (2008b) for ecological inference in 2 X 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. This paper illustrates the usage of eco with several real data examples that are also part of the package.http://www.jstatsoft.org/v42/i05/paperaggregate dataBayesian inferenceboundslikelihood inferencemissing datamissing information |
| spellingShingle | Kosuke Imai Ying Lu Aaron Strauss eco: R Package for Ecological Inference in 2x2 Tables Journal of Statistical Software aggregate data Bayesian inference bounds likelihood inference missing data missing information |
| title | eco: R Package for Ecological Inference in 2x2 Tables |
| title_full | eco: R Package for Ecological Inference in 2x2 Tables |
| title_fullStr | eco: R Package for Ecological Inference in 2x2 Tables |
| title_full_unstemmed | eco: R Package for Ecological Inference in 2x2 Tables |
| title_short | eco: R Package for Ecological Inference in 2x2 Tables |
| title_sort | eco r package for ecological inference in 2x2 tables |
| topic | aggregate data Bayesian inference bounds likelihood inference missing data missing information |
| url | http://www.jstatsoft.org/v42/i05/paper |
| work_keys_str_mv | AT kosukeimai ecorpackageforecologicalinferencein2x2tables AT yinglu ecorpackageforecologicalinferencein2x2tables AT aaronstrauss ecorpackageforecologicalinferencein2x2tables |