getcoef.hd: Get the estimated coefficient functions for linear...
In FRegSigCom: Functional Regression using Signal Compression Approach
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
This function is used to calculate the estimates for μ(t), β_i(s,t) based on the object obtained from cv.hd.
Usage
1
getcoef.hd(fit.cv)
Arguments
fit.cv
the object obtained from cv.hd.
Value
a list containing
mu
the vector of estimated values for μ(t) at t.y which is the vector of observation time points for the response function used in cv.hd.
beta
a list of length p, the number of functional predictors. Its i-th element is a matrix of the estimated values of β_i(s,t) at the two-dimensional grid created by t.x.list[[i]] and t.y used in cv.hd.
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
This function is used to calculate the estimates for μ(t), β_i(s,t) based on the object obtained from cv.hd.
Usage
1 | getcoef.hd(fit.cv)
|
Arguments
fit.cv |
the object obtained from |
Value
a list containing
mu |
the vector of estimated values for μ(t) at |
beta |
a list of length p, the number of functional predictors. Its i-th element is a matrix of the estimated values of β_i(s,t) at the two-dimensional grid created by |
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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