extract_components: Extract Model Components to be Compared
In multifamm: Multivariate Functional Additive Mixed Models

Description Usage Arguments Details Value

This is an internal function that helps to compare different models. The models resulting from a multiFAMM() call are typically very big. This function extracts the main information from a model so that a smaller R object can be saved.

1	extract_components(model, dimnames)

`model`	multiFAMM model object from which to extract the information.
`dimnames`	Names of the dimensions of the model.

So far the grid is fixed to be on [0,1].

A list with the following elements

error_var: A list containing the following elements
- model_weights: Model weights used in the final multiFAMM.
- modelsig2: Estimate of sigma squared in the final model.
- uni_vars: Univariate estimates of sigma squared.
eigenvals: List containing the estimated eigenvalues.
fitted_curves: multiFunData object containing the fitted curves.
eigenfcts: multiFunData object containing the estimated eigenfunctions.
cov_preds: multiFunData object containing the estimated covariate effects.
ran_preds: List containing multiFunData objects of the predicted random effects.
scores: List containing matrices of the estimated scores.
meanfun: multiFunData object containing the estimated mean function.
var_info: List containing all eigenvalues and univariate norms before the MFPC pruning step
- eigenvals: Vector of all multivariate eigenvalues.
- uni_norms: List of univariate norms of all eigenfunctions.