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.
extract_components(model, dimnames)multiFAMM model object from which to extract the information.
Names of the dimensions of the model.
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.
So far the grid is fixed to be on [0,1].