compute_var: Compute the Number of FPCs needed
In multifamm: Multivariate Functional Additive Mixed Models
Description
This is an internal function. The function takes all the information needed
to calculate how many FPCs are needed to reach the pre-specified cutoff
level.
Usage
1
compute_var(sigma_sq, values, norms_sq, mfpc_cutoff)
Arguments
sigma_sq
Vector containing the estimated variances on each dimension.
values
List containing the multivariate Eigenvalues for each variance
component.
norms_sq
Vector containing the squared norms to be used as weights on
the Eigenvalues.
mfpc_cutoff
Pre-specified level of explained variance of results of
MFPCA.
multifamm documentation built on Sept. 28, 2021, 9:07 a.m.
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Description
This is an internal function. The function takes all the information needed to calculate how many FPCs are needed to reach the pre-specified cutoff level.
Usage
1 | compute_var(sigma_sq, values, norms_sq, mfpc_cutoff)
|
Arguments
sigma_sq |
Vector containing the estimated variances on each dimension. |
values |
List containing the multivariate Eigenvalues for each variance component. |
norms_sq |
Vector containing the squared norms to be used as weights on the Eigenvalues. |
mfpc_cutoff |
Pre-specified level of explained variance of results of MFPCA. |
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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