Kiefer-Wolfowitz maximum likelihood estimation for mixture models
and some other density estimation and regression methods based on convex
optimization.  See Koenker and Gu (2017) REBayes: An R Package for Empirical
Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26,
<DOI:10.18637/jss.v082.i08>.

Empirical Bayes Estimation and Inference

package-ubuntu-20.04-r-4.0.5#cran#REBayes-2.2

<p>Random number generation from a medde estimate
</p>

<table summary="R argblock">
<tr valign="top">
<td><code>n</code></td>
<td>
<p>number of observations desired in calls to rmedde</p>
</td>
</tr>
<tr valign="top">
<td><code>medde</code></td>
<td>
<p>fitted medde object for calls in qmedde and rmedde</p>
</td>
</tr>
<tr valign="top">
<td><code>smooth</code></td>
<td>
<p>option to draw random meddes from the smoothed density</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#REBayes-2.2#docs#rmedde

rmedde

Description

Usage

Arguments

REBayes

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`n`	number of observations desired in calls to rmedde
`medde`	fitted medde object for calls in qmedde and rmedde
`smooth`	option to draw random meddes from the smoothed density