conduct_mfpca function

Conduct the MFPCA

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.

conduct_mfpca(mfpca_info, mfpc_weight)

Arguments

• 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.

Details

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.