prepare_mfpca {multifamm}R Documentation

Prepare Information Necessary for MFPCA

Description

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.

Usage

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.


[Package multifamm version 0.1.1 Index]