get_ICC_pre_clusters: Calculate the amount of baseline variance at the cluster...

In powerlmm: Power Analysis for Longitudinal Multilevel Models

Description

Calculate the amount of baseline variance at the cluster level

Usage

get_ICC_pre_clusters(object, ...)

Arguments

object	An object created by study_parameters
...	Optional named arguments.

Details

The proportion of variance at the cluster level at baseline can be interpreted as the correlation between two subjects belonging to the same cluster.

Value

Returns the proportion of baseline variance at the cluster level, as a numeric vector.

Examples

paras <- study_parameters(n1 = 11,
                          n2 = 10,
                          n3 = 3,
                          T_end = 10,
                          sigma_subject_intercept = 1.2,
                          sigma_subject_slope = 0.2,
                          sigma_cluster_intercept = 0.5,
                          sigma_cluster_slope = 0.2,
                          sigma_error = 1.2,
                          cohend = -0.8)

get_ICC_pre_clusters(paras)

powerlmm documentation built on May 2, 2019, 3:10 a.m.