conduct_mfpca: Conduct the MFPCA
In multifamm: Multivariate Functional Additive Mixed Models

This is an internal function contained in the multiFAMM function. This step uses the information from the univariate FLMMs for the MFPCA. It also allows a single weighting scheme of the MFPCA.

1	conduct_mfpca(mfpca_info, mfpc_weight)

`mfpca_info`	Object containing all the neccessary information for the MFPCA. List as given by the output of prepare_mfpca().
`mfpc_weight`	TRUE if the estimated univariate error variance is to be used as weights in the scalar product of the MFPCA.

Currently, it is possible to conduct a non-weighted MFPCA (default) as well as a MFPCA that uses the estimated univariate error variances as weights.

multifamm documentation built on Sept. 28, 2021, 9:07 a.m.