sim_eval_components: Evaluate the model components in the simulation

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

Evaluate the model components in the simulation

Description

This function takes the folder containing the results of a simulation scenario and returns a data frame with relative MSE values for the separate model components.

Usage

sim_eval_components(folder, m_true_comp, label_cov, relative = TRUE, I = 9,
  J = 16, reps = 5, nested = FALSE, fixed_fpc = TRUE, sigma2 = NULL)

Arguments

folder	Folder with saved objects from the simulation.
m_true_comp	True model components used for the simulation.
label_cov	Vector of labels for the covariates.
relative	Is the relative error measure to be used or the absolute? Defaults to TRUE.
I	Number of levels for component B. Defaults to 9.
J	Number of levels for component C. Defaults to 16.
reps	Number of repetitions of the levels of B and C. Defaults to 5.
nested	TRUE if the model component C is nested. Defaults to FALSE.
fixed_fpc	FALSE if the number of FPCs in the model is selected by the model not by the user. This means that eigenvalues, scores and eigenfunctions are not evaluated. Defaults to TRUE.
sigma2	Vector of true values can be supplied if they differ from the values in m_true_comp. Defaults to NULL.

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