sim_formula: Create a simulation formula
In powerlmm: Power Analysis for Longitudinal Multilevel Models

Description Usage Arguments Details Value See Also Examples

Create a simulation formula

1	sim_formula(formula, data_transform = NULL, test = "time:treatment")

`formula`	A `character` containing a lme4 formula.
`data_transform`	Optional; a `function` that applies a transformation to the data during each simulation.
`test`	A `character` vector indicating which parameters should be tested. Only applies to tests using Satterthwaite dfs, or when calculating confidence intervals.

It is possible to fit model without any random effects. If no random effects is specified the model is fit using lm().

Object with class plcp_sim_formula

sim_formula_compare, transform_to_posttest

# 2-lvl model
f <- sim_formula("y ~ treatment * time + (1 + time | subject)")

# ANCOVA using 'data_transform'
f <- sim_formula("y ~ treatment + pretest",
                 data_transform = transform_to_posttest,
                 test = "treatment")