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- W1569361394 abstract "<b>eco</b> 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 <b>eco</b> with several real data examples that are also part of the package." @default.
- W1569361394 created "2016-06-24" @default.
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- W1569361394 date "2011-01-01" @default.
- W1569361394 modified "2023-09-25" @default.
- W1569361394 title "<b>eco</b>:<i>R</i>Package for Ecological Inference in 2<mml:math xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns=http://www.w3.org/1998/Math/MathML><mml:mrow><mml:mo>×</mml:mo></mml:mrow></mml:math>2 Tables" @default.
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- W1569361394 doi "https://doi.org/10.18637/jss.v042.i05" @default.
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