predSc: predSc
In jeff-goldsmith/gfpca: Generalized Functional Principal Components Analysis
Description
Usage
Arguments
Author(s)
Description
Internal function for prediction of scores using the Hall et al. approach.
Usage
1
predSc(ev, psi, Yi.obs, mu, gs)
Arguments
ev
vector of eigenvalues
psi
matrix of eigenfunctions
Yi.obs
matrix of observed data
mu
mean function
gs
dispersion parameter (gamma in Hall et al.). This is gm in
gfpcaMar. In the simulation studies this parameter is chosen such the MSE is
smallest, which gives somewhat over-optimistic results for the marginal
approach.
Author(s)
Jan Gertheiss jan.gertheiss@agr.uni-goettingen.de and
Ana-Maria Staicu astaicu@ncsu.edu
jeff-goldsmith/gfpca documentation built on May 19, 2019, 1:45 a.m.
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Description Usage Arguments Author(s)
Description
Internal function for prediction of scores using the Hall et al. approach.
Usage
1 | predSc(ev, psi, Yi.obs, mu, gs)
|
Arguments
ev |
vector of eigenvalues |
psi |
matrix of eigenfunctions |
Yi.obs |
matrix of observed data |
mu |
mean function |
gs |
dispersion parameter (gamma in Hall et al.). This is gm in gfpcaMar. In the simulation studies this parameter is chosen such the MSE is smallest, which gives somewhat over-optimistic results for the marginal approach. |
Author(s)
Jan Gertheiss jan.gertheiss@agr.uni-goettingen.de and Ana-Maria Staicu astaicu@ncsu.edu
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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