Description Usage Arguments Details Value Note Author(s) References See Also Examples
The function allows to predict values of the link function in a multi-index model with estimated effective dimension reduction space.
1 2 |
object |
object of class |
xest |
matrix of design points where values of the link function are to be predicted |
m |
specified dimension of the dimension reduction space. |
h |
bandwidth, if |
method |
|
... |
Additional parameters that are currently not evaluated. |
This function provides predictions of response values based on a multiindex model
analyzed using function edr. It requires specification of the dimension of the
dimension reduction space in argument m. Argument method allows to select between
two different local smoothers for estimation of values of the link function. The use of method = "sm"
requires package sm and is restricted to m<=2, see documentation of package sm.
method = "direct" uses an implementation of a local linear smoother. If parameters of the local
linear smoother are not identified for a given bandwidth h a kernel smoother or if this is
not identified a 1-nearest neighbor estimate is used.
The bandwidth is, in case of h=NULL, is
determined by generalized cross-validation for sm and as x$h*x$rho
in case of the local linear smoother.
List with components.
x |
The content of argument |
fhat |
Predicted values of the link function |
This function requires package sm if method="sm".
Joerg Polzehl, polzehl@wias-berlin.de
M. Hristache, A. Juditsky, J. Polzehl and V. Spokoiny (2001). Structure adaptive approach for dimension reduction, The Annals of Statistics. Vol.29, pp. 1537-1566.
J. Polzehl, S. Sperlich (2008). A Note on Stuctural Adaptive Dimension Reduction, Journal of Statistical Computation and Simulation, DOI: 10.1080/00949650801959699
edr,plot.edr, summary.edr, print.edr, edr.R, edrcv
1 2 | require(EDR)
## Not run: demo(edr_ex4)
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