varcov

<code>varcov</code> returns the variance or covariance of the object.

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.

Kosuke Imai

Ecological Inference in 2x2 Tables

Ying Lu

Aaron Strauss

Hubert Jin

varcov function

<dl><dt>object</dt>
<dd>An object</dd>
<dt>...</dt>
<dd>The rest of the input parameters if any</dd></dl>

Arguments

Calculate the variance or covariance of the object — varcov

<dl>

<dt>object</dt>
<dd>An object</dd>


<dt>...</dt>
<dd>The rest of the input parameters if any</dd>

</dl>

varcov: Calculate the variance or covariance of the object

Description

Usage

Value

Arguments