plotci.sA

Plots 95

array

Estimation and inference for parameters
in a Gaussian copula model,
treating the univariate marginal distributions as nuisance
parameters as described in Hoff (2007) <doi:10.1214/07-AOAS107>.
This package also provides a
semiparametric imputation procedure for missing multivariate
data.

Peter Hoff

sbgcop

Semiparametric Bayesian Gaussian Copula Estimation and
Imputation

plotci.sA function

<dl><dt>sA</dt>
<dd>a p x p x nsamp array</dd>
<dt>ylabs</dt>
<dd>a p x 1 vector of names for plotting labels</dd>
<dt>mgp</dt>
<dd>margin parameters</dd></dl>

Arguments

Author

Plot Confidence Bands for Association Parameters — plotci.sA

<dl>

<dt>sA</dt>
<dd>a p x p x nsamp array</dd>


<dt>ylabs</dt>
<dd>a p x 1 vector of names for plotting labels</dd>


<dt>mgp</dt>
<dd>margin parameters</dd>

</dl>

plotci.sA: Plot Confidence Bands for Association Parameters

Description

Usage

Arguments

Author

Examples