spatpcaCV: Internal function: M-fold Cross-validation
In SpatPCA: Regularized Principal Component Analysis for Spatial Data
spatpcaCV R Documentation
Internal function: M-fold Cross-validation
Description
Internal function: M-fold Cross-validation
Usage
spatpcaCV(sxyr, Yr, M, K, tau1r, tau2r, gammar, nkr, maxit, tol, l2r)
Arguments
sxyr
A location matrix
Yr
A data matrix
M
The number of folds for CV
K
The number of estimated eigen-functions
tau1r
A range of tau1
tau2r
A range of tau2
gammar
A range of gamma
nkr
A vector of fold numbers
maxit
A maximum number of iteration
tol
A tolerance rate
l2r
A given tau2
Value
A list of selected parameters
SpatPCA documentation built on Nov. 13, 2023, 5:06 p.m.
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| spatpcaCV | R Documentation |
Internal function: M-fold Cross-validation
Description
Internal function: M-fold Cross-validation
Usage
spatpcaCV(sxyr, Yr, M, K, tau1r, tau2r, gammar, nkr, maxit, tol, l2r)
Arguments
sxyr |
A location matrix |
Yr |
A data matrix |
M |
The number of folds for CV |
K |
The number of estimated eigen-functions |
tau1r |
A range of tau1 |
tau2r |
A range of tau2 |
gammar |
A range of gamma |
nkr |
A vector of fold numbers |
maxit |
A maximum number of iteration |
tol |
A tolerance rate |
l2r |
A given tau2 |
Value
A list of selected parameters
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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