print.plcp_multi_sim_summary

An object of class <code>plcp_multi_sim_summary</code>

<code>character</code> vector; indicates the names of the
additional columns that should be added to the output. Intended use case is
when you want to add some of the setup parameters, this print method
is not smart enough to figure out which parameters you are investigating.

add_cols

<code>logical</code>; indicates if parameter bias should be printed.

bias

<code>logical</code>; indicates if empirical power should be printed.

power

<code>logical</code>; indicates if the parameter estimates should be printed.

estimates

digits

Print method for <code>summary.plcp_multi_sim</code>-objects

Calculate power for the 'time x treatment' effect
in two- and three-level multilevel longitudinal studies with missing data.
Both the third-level factor (e.g. therapists, schools, or physicians),
and the second-level factor (e.g. subjects), can be assigned random slopes.
Studies with partially nested designs, unequal cluster sizes,
unequal allocation to treatment arms, and different dropout patterns
per treatment are supported. For all designs power can be
calculated both analytically and via simulations. The analytical
calculations extends the method described in Galbraith et al. (2002)
<doi:10.1016/S0197-2456(02)00205-2>, to three-level models.
Additionally, the simulation tools provides flexible ways to investigate
bias, Type I errors and the consequences of model misspecification.

print.plcp_multi_sim_summary: Print method for `summary.plcp_multi_sim`-objects

Description

Usage

Arguments