R: Power Analysis and Data Simulation for Multilevel Models

# Power Analysis and Data Simulation for Multilevel Models

## Documentation for package ‘mlmpower’ version 1.0.10

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

## Help Pages

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'
between_binary_predictor | Functions for Creating Variables
between_predictor | Functions for Creating Variables
center | Center a data set based on a 'mp_data'
correlations | Specify the Correlation Structure for the Model
cross_sectional | Specify the Effect Size for the Model
effect_size | Specify the Effect Size for the Model
fixed | Functions for Generating Correlations
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
longitudinal | Specify the Effect Size for the Model
MAR | Helper functions for producing Missing Data Mechanisms
MCAR | Helper functions for producing Missing Data Mechanisms
mechanism | Helper functions for producing Missing Data Mechanisms
mechanisms | Helper functions for producing Missing Data Mechanisms
mlmpower | 'mlmpower' Modeling Framework
model | 'mlmpower' Modeling Framework
Modeling | 'mlmpower' Modeling Framework
modeling | 'mlmpower' Modeling Framework
mp_action | 'mlmpower' Modeling Framework
mp_base | 'mlmpower' Modeling Framework
mp_corr | Specify the Correlation Structure for the Model
mp_correlations | Specify the Correlation Structure for the Model
mp_corr_func | Functions for Generating Correlations
mp_data | Generates Data Sets Based on a 'mp_model'
mp_effect | Specify the Effect Size for the Model
mp_effsize | Specify the Effect Size for the Model
mp_model | 'mlmpower' Modeling Framework
mp_parameters | 'mp_parameters' Object for 'mlmpower'
mp_power | Conduct a Power Analysis Based on 'mp_model'
mp_variable | Functions for Creating Variables
outcome | Functions for Creating Variables
parameters | Obtain 'mp_parameters' from objects
parameters.mp_data | Obtain 'mp_parameters' from objects
parameters.mp_model | Obtain 'mp_parameters' from objects
parameters.mp_power | 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 | Functions for Generating Correlations
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'
variable | Functions for Creating Variables
Variables | Functions for Creating Variables
variables | Functions for Creating Variables
within_predictor | Functions for Creating Variables
within_time_predictor | Functions for Creating Variables
`+.mp_base` | 'mlmpower' Modeling Framework