prepare_gam_predict: Prepare Prediction of Simulated Data Using MGCV Model Object

In alexvolkmann/multifammPaper: Convenience Functions for the Analysis of the multiFAMM Paper

Prepare Prediction of Simulated Data Using MGCV Model Object

Description

This is function is used to generate new data sets. It adapts curve_info so that it has the same structure as the original data. Then, it is possible to use the predict function from mgcv.

Usage

prepare_gam_predict(data, num_cov, interaction, which_inter, model)

Arguments

data	Simulated data set for which the necessary model components are to be computed.
num_cov	Number of covariates if covariate = TRUE.
interaction	TRUE if there are interactions between covariates (as in sparseFLMM).
which_inter	Symmetric matrix specifying the interaction terms (as in sparseFLMM).
model	GAM model from which to extract the covariate functions.

alexvolkmann/multifammPaper documentation built on Sept. 9, 2024, 8:47 p.m.