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.

Ying Lu

Ecological Inference in 2x2 Tables

Kosuke Imai

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

Arguments