poids

Evaluate the product of kernel function at (X-valx)/bx: 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

poids function

<dl> <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>X</dt>
<dd>Matrix of explanatory variables, size n, p.</dd> <dt>bx</dt>
<dd>The vector of different bandwidths, length \(p\).</dd> <dt>valx</dt>
<dd>The vector of length \(p\) at which the product kernel is evaluated.</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

Product kernel evaluation — poids

<dl>

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

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

 <dt>valx</dt>
<dd>The vector of length \(p\) at which the product kernel is evaluated.</dd>

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

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

</dl>

poids: Product kernel evaluation

Description

Usage

Value

Arguments

Author

See Also