An internal function, for use in <code>sixway</code>, which calculates the
Brooks-Draper diagnostic, based on an unpublished paper by David Draper. It
estimates the length of a Markov chain required to produce a mean estimate
to k significant figures with a given accuracy (alpha). See Browne (2012)
for further details.

An R command interface to the 'MLwiN' multilevel
modelling software package.

Zhengzheng Zhang

R2MLwiN

Running 'MLwiN' from Within R

Chris Charlton

Richard Parker

George Leckie

William Browne

BD function

<dl><dt>est</dt>
<dd>Numeric scalar for the mean of the distribution</dd>
<dt>var</dt>
<dd>Numeric scalar for the variance of the distribution</dd>
<dt>rho</dt>
<dd>The first lag (i.e. after zero) of the auto-correlation function (ACF) diagnostic</dd>
<dt>k</dt>
<dd>Integer scalar corresponding to the number of significant figures (defaults to <code>2</code>)</dd>
<dt>alpha</dt>
<dd>Numeric scalar indicating the desired accuracy (defaults to <code>0.05</code>)</dd></dl>

Arguments

Zhang, Z., Charlton, C.M.J., Parker, R.M.A., Leckie, G., and Browne,
W.J. (2016) Centre for Multilevel Modelling, University of Bristol.

Author

Calculates Brooks-Draper diagnostic — BD

<dl>

<dt>est</dt>
<dd>Numeric scalar for the mean of the distribution</dd>


<dt>var</dt>
<dd>Numeric scalar for the variance of the distribution</dd>


<dt>rho</dt>
<dd>The first lag (i.e. after zero) of the auto-correlation function (ACF) diagnostic</dd>


<dt>k</dt>
<dd>Integer scalar corresponding to the number of significant figures (defaults to <code>2</code>)</dd>


<dt>alpha</dt>
<dd>Numeric scalar indicating the desired accuracy (defaults to <code>0.05</code>)</dd>

</dl>

BD: Calculates Brooks-Draper diagnostic

Description

Usage

Value

Arguments

Author

References

See Also