extract_components function

Extract Model Components to be Compared

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)

Arguments

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

Returns

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.

Details

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