pred.ff.interaction: Prediction for a linear FOF regression model with two-way...
In FRegSigCom: Functional Regression using Signal Compression Approach
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Make predition for new observations of functional
predictors based on the fitted function-on-function interaction model
in the output of cv.ff.interaction with given main and
two-way interaction effects, or the model in the output of step.ff.interaction with selected main and two-way interaction effects.
Usage
1
pred.ff.interaction(fit.obj, X.test, t.y.test=NULL)
Arguments
fit.obj
the output object of the function cv.ff.interaction, or step.ff.interaction.
X.test
new observations of functional predictors. It is a list of the same length and the same structure as the input X for cv.ff.interaction or step.ff.interaction.
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.ff.interaction or step.ff.interaction
will be used.
Value
A matrix containing the predicted values of response curves
evaluated at t.y for the new observations. The number of rows
of the matrix equals to the sample size of the new data set, and the
number of columns equals to the length of t.y, the input in
cv.ff.interaction or step.ff.interaction.
Author(s)
Xin Qi and Ruiyan Luo
See Also
cv.ff.interaction, step.ff.interaction
Examples
1
#See the examples in cv.ff.interaction() and step.ff.interaction().
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 new observations of functional
predictors based on the fitted function-on-function interaction model
in the output of cv.ff.interaction with given main and
two-way interaction effects, or the model in the output of step.ff.interaction with selected main and two-way interaction effects.
Usage
1 | pred.ff.interaction(fit.obj, X.test, t.y.test=NULL)
|
Arguments
fit.obj |
the output object of the function |
X.test |
new observations of functional predictors. It is a list of the same length and the same structure as the input |
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
evaluated at t.y for the new observations. The number of rows
of the matrix equals to the sample size of the new data set, and the
number of columns equals to the length of t.y, the input in
cv.ff.interaction or step.ff.interaction.
Author(s)
Xin Qi and Ruiyan Luo
See Also
cv.ff.interaction, step.ff.interaction
Examples
1 | #See the examples in cv.ff.interaction() and step.ff.interaction().
|
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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