prepare_mfpca function

Prepare Information Necessary for 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 simple weighting scheme of the MFPCA.

prepare_mfpca(model_list, fRI_B, mfpc_weight)

Arguments

• model_list: List containing sparseFLMM objects for each dimension as given by the output of apply_sparseFLMM()
• fRI_B: Boolean for including functional random intercept for individual (B in Cederbaum). Defaults to FALSE.
• mfpc_weight: TRUE if the estimated univariate error variance is to be used as weights in the scalar product of the MFPCA.