rmedde

Random number generation from a medde estimate

nonparametric

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>.

Roger Koenker

REBayes

Empirical Bayes Estimation and Inference

Jiaying Gu

Ivan Mizera

rmedde function

<dl><dt>n</dt>
<dd>number of observations desired in calls to rmedde</dd>
<dt>medde</dt>
<dd>fitted medde object for calls in qmedde and rmedde</dd>
<dt>smooth</dt>
<dd>option to draw random meddes from the smoothed density</dd></dl>

Arguments

Random number generation from a medde estimate — rmedde

<dl>

<dt>n</dt>
<dd>number of observations desired in calls to rmedde</dd>


<dt>medde</dt>
<dd>fitted medde object for calls in qmedde and rmedde</dd>


<dt>smooth</dt>
<dd>option to draw random meddes from the smoothed density</dd>

</dl>

rmedde: Random number generation from a medde estimate

Description

Usage

Arguments