Power Analysis and Data Simulation for Multilevel Models
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Documentation for package ‘mlmpower’ version 1.0.8
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 |