print.summary.eco

<code>summary</code> method for class <code>eco</code>.

methods

Implements the Bayesian and likelihood methods proposed
in Imai, Lu, and Strauss (2008 <DOI: 10.1093/pan/mpm017>) and
(2011 <DOI:10.18637/jss.v042.i05>) 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.

Ying Lu

Ecological Inference in 2x2 Tables

Kosuke Imai

Aaron Strauss

Hubert Jin

print.summary.eco function

<dl><dt>x</dt>
<dd>An object of class <code>summary.eco</code>.</dd>
<dt>digits</dt>
<dd>the number of significant digits to use when printing.</dd>
<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd></dl>

Arguments

Print the Summary of the Results for the Bayesian Parametric Model for Ecological
Inference in 2x2 Tables — print.summary.eco

<dl>

<dt>x</dt>
<dd>An object of class <code>summary.eco</code>.</dd>


<dt>digits</dt>
<dd>the number of significant digits to use when printing.</dd>


<dt>...</dt>
<dd>further arguments passed to or from other methods.</dd>

</dl>

print.summary.eco: Print the Summary of the Results for the Bayesian Parametric Model for Ecological Inference in 2x2 Tables

Description

Usage

Value

Arguments

See Also