Man pages for mlmpower
Power Analysis and Data Simulation for Multilevel Models

analyzeAnalyzes a single 'mp_data' using 'lme4::lmer'
as.data.frame.mp_powerCoerce a 'mp_power' to a Data Frame
as.list.mp_parametersConvert 'mp_parameters' to a 'list'
centerCenter a data set based on a 'mp_data'
correlationsSpecify the Correlation Structure for the Model
effect_sizeSpecify the Effect Size for the Model
generateGenerates Data Sets Based on a 'mp_model'
is_validCheck if a Model is Properly Specified
levels.mp_variableObtain Level of Observation for a Variable
mechanismsHelper functions for producing Missing Data Mechanisms
mlmpower'mlmpower' Modeling Framework
mp_corr_funcFunctions for Generating Correlations
mp_parameters'mp_parameters' Object for 'mlmpower'
mp_variableFunctions for Creating Variables
parametersObtain 'mp_parameters' from objects
power_analysisConduct a Power Analysis Based on 'mp_model'
print.mp_correlationsPrints a 'mp_correlations'
print.mp_effsizePrints a 'mp_effsize'
print.mp_modelPrints a 'mp_model'
print.mp_parametersPrints a 'mp_parameters'
print.mp_powerPrints a 'mp_power'
print.mp_variablePrints a 'mp_variable'
productCreate a Product Term in a Model
random_slopeCreate a Random Slope in a Model
subset.mp_modelSubset a 'mp_model' by Global ICC
summary.mp_modelObtain the Parameter Summaries for A 'mp_model'
summary.mp_powerSummarizes a 'mp_power'
to_formulaConvert 'mp_data' to a 'stats::formula' to be used for...
mlmpower documentation built on June 8, 2025, 11:07 a.m.