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      Data Generation Functions
      
      
      
     
      
      
      
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FitModelIndirect() 
         
        - Fit the Simple Mediation Model using Normal Theory Maximum Likelihood
(Indirect Effect)
 
      
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FitModelMI() 
         
        - Fit the Simple Mediation Model using Multiple Imputation
 
      
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FitModelML() 
         
        - Fit the Simple Mediation Model using Normal Theory Maximum Likelihood
 
      
 
      Confidence Interval Functions
      
      
      
     
      
      
      
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MCMI() 
         
        - Monte Carlo Confidence Intervals for the Indirect Effect
using Multiple Imputation
 
      
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MCML() 
         
        - Monte Carlo Confidence Intervals for the Indirect Effect
using Normal Theory Maximum Likelihood
 
      
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MINB() 
         
        - Nonparametric Bootstrap Confidence Intervals for the Indirect Effect
using Multiple Imputation
(NB nested within MI or MI(NB))
 
      
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NBMI() 
         
        - Nonparametric Bootstrap Confidence Intervals for the Indirect Effect
using Multiple Imputation
(MI nested within NB or NB(MI))
 
      
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NBML() 
         
        - Nonparametric Bootstrap Confidence Intervals for the Indirect Effect
using Normal Theory Maximum Likelihood
(ML nested within NB or NB(ML))
 
      
 
      Significance Test Functions
      
      
      
     
      
      
      
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JointSigMI() 
         
        - Joint Significance Test for the Indirect Effect using Multiple Imputation
 
      
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JointSigML() 
         
        - Joint Significance Test for the Indirect Effect
using Normal Theory Maximum Likelihood
 
      
 
      Multiple Imputation Functions
      
      
      
     
      
      
      
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MICombine() 
         
        - Combine Parameter Estimates Vector and Sampling Variance-Covariance Matrix
Estimated from Multiple Imputations
 
      
 
      
      
      
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elliot2007 
         
        - Intervention on Healthy Dietary Behavior
Via Knowledge of Healthy Dietary Behavior
 
      
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params 
         
        - Simulation Parameters
 
      
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results 
         
        - Simulation Results
 
      
 
      
      
      
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FigBoxPlot() 
         
        - Box Plot of Type I Error Rate, Statistical Power, and Miss Rate
 
      
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FigScatterPlot() 
         
        - Scatter Plot of Type I Error Rate, Statistical Power, and Miss Rate
 
      
 
      
      
      
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TabDescribe() 
         
        - Descriptive Statistics of Type I Error Rate, Statistical Power, and Miss Rate
 
      
 
      Conditional Inference Trees
      
      
      
     
      
      
      
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Tree() 
         
        - Conditional Inference Tree
 
      
 
      
      
      
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AmputeData() 
         
        - Ampute Data
 
      
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Check() 
         
        - Check Replication
 
      
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CheckAmputeData() 
         
        - Check Replication - SimAmputeData
 
      
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CheckFitModelMI() 
         
        - Check Replication - SimFitModelMI
 
      
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CheckFitModelML() 
         
        - Check Replication - SimFitModelML
 
      
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CheckGenData() 
         
        - Check Replication - SimGenData
 
      
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CheckImputeData() 
         
        - Check Replication - SimImputeData
 
      
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CheckJointSigMI() 
         
        - Check Replication - SimJointSigMI
 
      
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CheckJointSigML() 
         
        - Check Replication - SimJointSigML
 
      
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CheckMCMI() 
         
        - Check Replication - SimMCMI
 
      
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CheckMCML() 
         
        - Check Replication - SimMCML
 
      
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CheckMINB() 
         
        - Check Replication - SimMINB
 
      
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CheckNBMI() 
         
        - Check Replication - SimNBMI
 
      
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CheckNBML() 
         
        - Check Replication - SimNBML
 
      
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Compress() 
         
        - Compress Replication
 
      
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FigBoxPlot() 
         
        - Box Plot of Type I Error Rate, Statistical Power, and Miss Rate
 
      
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FigScatterPlot() 
         
        - Scatter Plot of Type I Error Rate, Statistical Power, and Miss Rate
 
      
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FitModelIndirect() 
         
        - Fit the Simple Mediation Model using Normal Theory Maximum Likelihood
(Indirect Effect)
 
      
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FitModelMI() 
         
        - Fit the Simple Mediation Model using Multiple Imputation
 
      
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FitModelML() 
         
        - Fit the Simple Mediation Model using Normal Theory Maximum Likelihood
 
      
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GenData() 
         
        - Generate Data
 
      
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ImputeData() 
         
        - Impute Data
 
      
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JointSigMI() 
         
        - Joint Significance Test for the Indirect Effect using Multiple Imputation
 
      
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JointSigML() 
         
        - Joint Significance Test for the Indirect Effect
using Normal Theory Maximum Likelihood
 
      
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MCMI() 
         
        - Monte Carlo Confidence Intervals for the Indirect Effect
using Multiple Imputation
 
      
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MCML() 
         
        - Monte Carlo Confidence Intervals for the Indirect Effect
using Normal Theory Maximum Likelihood
 
      
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MICombine() 
         
        - Combine Parameter Estimates Vector and Sampling Variance-Covariance Matrix
Estimated from Multiple Imputations
 
      
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MINB() 
         
        - Nonparametric Bootstrap Confidence Intervals for the Indirect Effect
using Multiple Imputation
(NB nested within MI or MI(NB))
 
      
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NBMI() 
         
        - Nonparametric Bootstrap Confidence Intervals for the Indirect Effect
using Multiple Imputation
(MI nested within NB or NB(MI))
 
      
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NBML() 
         
        - Nonparametric Bootstrap Confidence Intervals for the Indirect Effect
using Normal Theory Maximum Likelihood
(ML nested within NB or NB(ML))
 
      
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Sim() 
         
        - Simulation Replication
 
      
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SimAmputeData() 
         
        - Simulation Replication - AmputeData
 
      
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SimFN() 
         
        - Simulation File Name
 
      
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SimFitModelMI() 
         
        - Simulation Replication - FitModelMI
 
      
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SimFitModelML() 
         
        - Simulation Replication - FitModelML
 
      
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SimGenData() 
         
        - Simulation Replication - GenData
 
      
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SimImputeData() 
         
        - Simulation Replication - ImputeData
 
      
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SimJointSigMI() 
         
        - Simulation Replication - JointSigMI
 
      
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SimJointSigML() 
         
        - Simulation Replication - JointSigML
 
      
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SimMCMI() 
         
        - Simulation Replication - MCMI
 
      
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SimMCML() 
         
        - Simulation Replication - MCML
 
      
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SimMINB() 
         
        - Simulation Replication - MINB
 
      
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SimNBMI() 
         
        - Simulation Replication - NBMI
 
      
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SimNBML() 
         
        - Simulation Replication - NBML
 
      
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SimProj() 
         
        - Simulation Project Name
 
      
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Sum() 
         
        - Summarize Simulations
 
      
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SumBind() 
         
        - Bind Results
 
      
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SumHit() 
         
        - Extract Zero Hit and Theta Hit from Summary Output
 
      
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SumJointSigMI() 
         
        - Summarize Simulations - SimJointSigMI
 
      
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SumJointSigML() 
         
        - Summarize Simulations - SimJointSigML
 
      
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SumMCMI() 
         
        - Summarize Simulations - SimMCMI
 
      
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SumMCML() 
         
        - Summarize Simulations - SimMCML
 
      
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SumMINB() 
         
        - Summarize Simulations - SimMINB
 
      
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SumNBMI() 
         
        - Summarize Simulations - SimNBMI
 
      
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SumNBML() 
         
        - Summarize Simulations - SimNBML
 
      
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TabDescribe() 
         
        - Descriptive Statistics of Type I Error Rate, Statistical Power, and Miss Rate
 
      
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Tree() 
         
        - Conditional Inference Tree