tracekernel

Evaluate the trace of the product of kernel smoother (Gaussian, Epanechnikov,
Uniform, Quartic). This function is not intended to be used directly.

smooth

Multivariate smoothing using iterative bias reduction with kernel, thin plate splines, Duchon splines or low rank splines.

Pierre-Andre Cornillon

Iterative Bias Reduction

tracekernel function

<dl> <dt>X</dt>
<dd>Matrix of explanatory variables, size n, p.</dd> <dt>bx</dt>
<dd>The vector of different bandwidths, length \(p\).</dd> <dt>kernelx</dt>
<dd>Character string which allows to choose between gaussian kernel
 (<code>"g"</code>), Epanechnikov (<code>"e"</code>), uniform (<code>"u"</code>),
 quartic (<code>"q"</code>).</dd> <dt>n</dt>
<dd>Number of rows of X.</dd> <dt>p</dt>
<dd>Number of columns of X.</dd></dl>

Arguments

Pierre-Andre Cornillon, Nicolas Hengartner and Eric Matzner-Lober.

Author

Trace of product kernel smoother — tracekernel

<dl>

 <dt>X</dt>
<dd>Matrix of explanatory variables, size n, p.</dd>

 <dt>bx</dt>
<dd>The vector of different bandwidths, length \(p\).</dd>

 <dt>kernelx</dt>
<dd>Character string which allows to choose between gaussian kernel
 (<code>"g"</code>), Epanechnikov (<code>"e"</code>), uniform (<code>"u"</code>),
 quartic (<code>"q"</code>).</dd>

 <dt>n</dt>
<dd>Number of rows of X.</dd>

 <dt>p</dt>
<dd>Number of columns of X.</dd>

</dl>

tracekernel: Trace of product kernel smoother

Description

Usage

Value

Arguments

Author

See Also