Qfun

A vector that contains the MLE $E(W_1)$,$E(W_2)$,
    $var(W_1)$,$var(W_2)$, and $cov(W_1,W_2)$. Typically it is
the element <code>theta.em</code> of an object of class <code>ecoML</code>.

theta

A vector of sufficient statistics of $E(W_1)$,
$E(W_2)$, $var(W_1)$,$var(W_2)$, and $cov(W_1,W_2)$.

suff.stat

<code>Qfun</code> returns the complete log-likelihood 
that is used to calculate the fraction of missing information.

models

eco is a publicly available R package that implements the
        Bayesian and likelihood methods proposed in Imai, Lu, and
        Strauss (2008) for ecological inference in $2 \times 2$ 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.

Qfun: Fitting the Parametric Bayesian Model of Ecological Inference in 2x2 Tables

Description

Usage

Arguments

References

See Also