bivariate_smooth: Estimate smooth covariance function
In acweisha/gFPCAClassif: Classification of Binary Functional Data
Description
Usage
Arguments
Value
Description
Estimate smooth covariance function
Usage
1
bivariate_smooth(K_b, k = 10, bs0 = "cr")
Arguments
K_b
NJ x D matrix of observations
k
number of basis functions in the
bs0
The basis functions used when smoothing the covariance functions
Value
Smooth covariance functions
acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.
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Description Usage Arguments Value
Description
Estimate smooth covariance function
Usage
1 | bivariate_smooth(K_b, k = 10, bs0 = "cr")
|
Arguments
K_b |
NJ x D matrix of observations |
k |
number of basis functions in the |
bs0 |
The basis functions used when smoothing the covariance functions |
Value
Smooth covariance functions
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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