pred.hd: Prediction for sparse linear function-on-function regression
In FRegSigCom: Functional Regression using Signal Compression Approach
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Make predition for functional response from the CV object obtained by cv.hd.
Usage
1
Arguments
fit.cv
the CV object obtained by cv.hd.
X.test
new observations of functional predictors. It is a list of length p, the number of functional predcitors. Each element is the observed matrix from a functional predictor, with rows repsenting observation vectors and columns corresponding to the observation time points.
t.y.test
a vector of observation time points where values of predicted response curves are to be calculated. If t.y.test=NULL (default), t.y in cv.hd will be used.
Value
A matrix containing the predicted values of response curves for
the new observations. The number of rows equals to the sample size of
the new data set, and the number of columns equals to the length of
t.y.test or t.y when t.y.test=NULL.
Author(s)
Ruiyan Luo and Xin Qi
See Also
Examples
1
#See the examples in cv.hd().
FRegSigCom documentation built on May 1, 2019, 9:45 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Make predition for functional response from the CV object obtained by cv.hd.
Usage
1 |
Arguments
fit.cv |
the CV object obtained by |
X.test |
new observations of functional predictors. It is a list of length p, the number of functional predcitors. Each element is the observed matrix from a functional predictor, with rows repsenting observation vectors and columns corresponding to the observation time points. |
t.y.test |
a vector of observation time points where values of predicted response curves are to be calculated. If |
Value
A matrix containing the predicted values of response curves for
the new observations. The number of rows equals to the sample size of
the new data set, and the number of columns equals to the length of
t.y.test or t.y when t.y.test=NULL.
Author(s)
Ruiyan Luo and Xin Qi
See Also
Examples
1 | #See the examples in cv.hd().
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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