R: Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models

# Power Analysis via Data Simulation for (Generalized) Linear Mixed Effects Models

## Documentation for package ‘PowRPriori’ version 0.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

.center_predictors | Internal Helper Function for Mean-Centering
.create_design_matrix | Create the Design Matrix for a Simulation
.plot_data | Internal Data Plotting Engine
.simulate_outcome | Simulate the Outcome Variable
.to_factor_safely | Safely Convert Character Vectors to Factors
define_design | Define the Structure of a Planned Experimental Design
fixed_effects_from_average_outcome | Calculate Fixed-Effects Coefficients from Mean Outcomes
get_fixed_effects_structure | Get the Expected Fixed-Effects Structure
get_random_effects_structure | Get the Expected Random-Effects Structure
plot_sim_model | Visualize Simulation Data or Power Simulation Results
plot_sim_model.formula | Visualize Simulation Data or Power Simulation Results
plot_sim_model.PowRPriori | Visualize Simulation Data or Power Simulation Results
power_sim | Perform a Power Analysis for (Generalized) Linear Mixed-Effects Models via Data Simulation
summary.PowRPriori | Summarize a Power Simulation Result