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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