sim_eval_dimensions: Evaluate the model components per dimension in the simulation

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

Evaluate the model components per dimension 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 and the separate dimensions.

Usage

sim_eval_dimensions(folder, m_true_comp, label_cov, relative = TRUE,
  uni_compare = FALSE, I = 9, J = 16, reps = 5, nested = FALSE)

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.
uni_compare	TRUE if the simulation scenario includes univariate model estimates that should be also evaluated. Defaults to FALSE.
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.

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