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.
1 | compute_var(sigma_sq, values, norms_sq, mfpc_cutoff)
|
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. |
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