Variables               Functions for Creating Variables
analyze                 Analyzes a single 'mp_data' using 'lme4::lmer'
as.data.frame.mp_power
                        Coerce a 'mp_power' to a Data Frame
as.list.mp_parameters   Convert 'mp_parameters' to a 'list'
center                  Center a data set based on a 'mp_data'
correlations            Specify the Correlation Structure for the Model
effect_size             Specify the Effect Size for the Model
generate                Generates Data Sets Based on a 'mp_model'
is_valid                Check if a Model is Properly Specified
levels.mp_variable      Obtain Level of Observation for a Variable
mechanisms              Helper functions for producing Missing Data
                        Mechanisms
mlmpower                'mlmpower' Modeling Framework
mp_corr_func            Functions for Generating Correlations
mp_parameters           'mp_parameters' Object for 'mlmpower'
parameters              Obtain 'mp_parameters' from objects
power_analysis          Conduct a Power Analysis Based on 'mp_model'
print.mp_correlations   Prints a 'mp_correlations'
print.mp_effsize        Prints a 'mp_effsize'
print.mp_model          Prints a 'mp_model'
print.mp_parameters     Prints a 'mp_parameters'
print.mp_power          Prints a 'mp_power'
print.mp_variable       Prints a 'mp_variable'
product                 Create a Product Term in a Model
random_slope            Create a Random Slope in a Model
subset.mp_model         Subset a 'mp_model' by Global ICC
summary.mp_model        Obtain the Parameter Summaries for A 'mp_model'
summary.mp_power        Summarizes a 'mp_power'
to_formula              Convert 'mp_data' to a 'stats::formula' to be
                        used for 'lme4::lmer'
