create_coverage_array: Create the Coverage Array of the Simulation

create_coverage_arrayR Documentation

Create the Coverage Array of the Simulation

Description

This function takes the index of the covariate to be evaluated and then checks whether the estimated covariate effect of the simulation run covers the true data generating effect function. The output is a logical array where the first dimension gives the dimension of the data, the second dimension gives the time point to be evaluated and the third dimension gives the simulation run.

Usage

create_coverage_array(sim_curves, gen_curves, effect_index, uni = NULL,
  m_fac = 1.96)

Arguments

sim_curves

The large list of simulation results. Use object$mul.

gen_curves

The original data generating curve as part of the output of multifamm:::extract_components(), so use output$cov_preds.

effect_index

The index position of the effect to be evaluated in the gen_curves and sim_curves effect lists. If the intercept is to be evaluated, this can be specified as 1 or 2 (both scalar and functional intercept are sumed up).

uni

Vector giving the associated order of the data generating effects when evaluating univariate models (object$uni). Is NULL for evaluation of multivariate models.

m_fac

Multiplication factor used to create the upper and lower credibility bounds. Defaults to 1.96 (ca. 95%).


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