lfgrid

<code>lfgrid()</code> is used to specify evaluation on a grid of points
 for <code>locfit.raw()</code>. The structure computes
 a bounding box for the data, and divides that into a grid with
 specified margins.

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 

lfgrid function

<dl><dt>mg</dt>
<dd>Number of grid points along each margin. Can be a single number (which
is applied in each dimension), or a vector specifying a value for
each dimension.</dd><dt>ll</dt>
<dd>Lower left limits for the grid. Length should be the number
of dimensions of the data provided to <code>locfit.raw()</code>.</dd><dt>ur</dt>
<dd>Upper right limits for the grid. By default, <code>ll</code> and
<code>ur</code> are generated as the bounding box for the data.</dd></dl>

Arguments

Locfit - grid evaluation structure. — lfgrid

<dl>

<dt>mg</dt>
<dd>Number of grid points along each margin. Can be a single number (which
is applied in each dimension), or a vector specifying a value for
each dimension.</dd>

<dt>ll</dt>
<dd>Lower left limits for the grid. Length should be the number
of dimensions of the data provided to <code>locfit.raw()</code>.</dd>

<dt>ur</dt>
<dd>Upper right limits for the grid. By default, <code>ll</code> and
<code>ur</code> are generated as the bounding box for the data.</dd>

</dl>

lfgrid: Locfit - grid evaluation structure.

Description

Usage

Arguments

Examples