get_kraus_eigen: Get True eigenfunction for simulation in Kraus(2015).
In statKim/robfpca: Functional principal component analysis for partially observed elliptical process
get_kraus_eigen R Documentation
Get True eigenfunction for simulation in Kraus(2015).
Description
True eigenfunctions are obtained for given grids from the setting of Kraus(2015).
Usage
get_kraus_eigen(grid)
Arguments
grid
a vector containing the observed timepoints.
Value
a p x k matrix containing the eigenfunctions where p is the length of grids and k is the number of true components.
References
Kraus, D. (2015). Components and completion of partially observed functional data. Journal of the Royal Statistical Society: Series B: Statistical Methodology, 777-801.
Examples
gr <- seq(0, 1, length.out = 51)
eig.true <- get_kraus_eigen(gr)
matplot(eig.true, type = "l")
statKim/robfpca documentation built on April 15, 2023, 10:12 p.m.
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| get_kraus_eigen | R Documentation |
Get True eigenfunction for simulation in Kraus(2015).
Description
True eigenfunctions are obtained for given grids from the setting of Kraus(2015).
Usage
get_kraus_eigen(grid)
Arguments
grid |
a vector containing the observed timepoints. |
Value
a p x k matrix containing the eigenfunctions where p is the length of grids and k is the number of true components.
References
Kraus, D. (2015). Components and completion of partially observed functional data. Journal of the Royal Statistical Society: Series B: Statistical Methodology, 777-801.
Examples
gr <- seq(0, 1, length.out = 51)
eig.true <- get_kraus_eigen(gr)
matplot(eig.true, type = "l")
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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