locfit.quasi

<code>locfit.quasi</code> assumes a specified mean-variance relation,
 and performs iterartive reweighted local regression under this
 assumption. This is appropriate for local quasi-likelihood models,
 and is an alternative to specifying a family such as <code>"qpoisson"</code>.
<code>locfit.quasi</code> is designed as a front end
 to <code>locfit.raw</code> with data vectors, or as an intemediary
 between <code>locfit</code> and <code>locfit.raw</code> with a
 model formula. If you can stand the syntax, the second calling
 sequence above will be slightly more efficient than the third.

smooth

Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.

Andy Liaw

locfit

Local Regression, Likelihood and Density Estimation

Catherine Loader

Jiayang Sun

Lucent Technologies 

locfit.quasi function

<dl><dt>x</dt>
<dd>Either a <code>locfit</code> model formula or a numeric vector
 of the predictor variable.</dd><dt>y</dt>
<dd>If <code>x</code> is numeric, <code>y</code> gives the response variable.</dd><dt>weights</dt>
<dd>Case weights to use in the fitting.</dd><dt>...</dt>
<dd>Other arguments to <code>locfit.raw</code></dd><dt>iter</dt>
<dd>Number of EM iterations to perform</dd><dt>var</dt>
<dd>Function specifying the assumed relation between the mean and variance.</dd></dl>

Arguments

Local Quasi-Likelihood with global reweighting. — locfit.quasi

<dl>

<dt>x</dt>
<dd>Either a <code>locfit</code> model formula or a numeric vector
 of the predictor variable.</dd>

<dt>y</dt>
<dd>If <code>x</code> is numeric, <code>y</code> gives the response variable.</dd>

<dt>weights</dt>
<dd>Case weights to use in the fitting.</dd>

<dt>...</dt>
<dd>Other arguments to <code>locfit.raw</code></dd>

<dt>iter</dt>
<dd>Number of EM iterations to perform</dd>

<dt>var</dt>
<dd>Function specifying the assumed relation between the mean and variance.</dd>

</dl>

locfit.quasi: Local Quasi-Likelihood with global reweighting.

Description

Usage

Value

Arguments

See Also