FSOutput-class          S4 Class for estimated factor scores and their
                        standard errors.
KappaOutput-class       S4 Class for kappa statistic with confidence
                        interval and judgment.
ModelSummary            S4 Generic for summarizing an optimized
                        MxModel.
ModelSummary,myMxOutput-method
                        S4 Method for summarizing an optimized MxModel.
RMS_dat                 ECLS-K (2011) Sample Dataset for Demonstration
StatsOutput-class       S4 Class for p values and confidence intervals
                        (when specified).
figOutput-class         S4 Class for displaying figures
getEstimateStats        Calculate p-Values and Confidence Intervals of
                        Parameters for a Fitted Model
getFigure               Generate Visualization for Fitted Model
getIndFS                Derive Individual Factor Scores for Each Latent
                        Variable Included in Model
getLCSM                 Fit a Latent Change Score Model with a
                        Time-invariant Covariate (If Any)
getLGCM                 Fit a Latent Growth Curve Model with
                        Time-invariant Covariate (If Any)
getLRT                  Perform Bootstrap Likelihood Ratio Test for
                        Comparing Full and Reduced Models
getLatentKappa          Compute Latent Kappa Coefficient for Agreement
                        between Two Latent Label Sets
getMGM                  Fit a Multivariate Latent Growth Curve Model or
                        Multivariate Latent Change Score Model
getMGroup               Fit a Longitudinal Multiple Group Model
getMIX                  Fit a Longitudinal Mixture Model
getMediation            Fit a Longitudinal Mediation Model
getPosterior            Compute Posterior Probabilities, Cluster
                        Assignments, and Model Entropy for a
                        Longitudinal Mixture Model
getSummary              Summarize Model Fit Statistics for Fitted
                        Models
getTVCmodel             Fit a Latent Growth Curve Model or Latent
                        Change Score Model with Time-varying and
                        Time-invariant Covariates
myMxOutput-class        S4 Class for optimized MxModel and point
                        estimates with standard errors (when
                        applicable)
postOutput-class        S4 Class for posterior probabilities,
                        membership, entropy, and accuracy (when
                        applicable)
printTable              S4 Generic for displaying output in a table
                        format.
printTable,FSOutput-method
                        S4 Method for printing estimated factor scores
                        and their standard errors
printTable,KappaOutput-method
                        S4 Method for printing kappa statistic with 95%
                        CI and judgement for agreement.
printTable,StatsOutput-method
                        S4 Method for printing p values and confidence
                        intervals (when applicable)
printTable,myMxOutput-method
                        S4 Method for printing point estimates with
                        standard errors
printTable,postOutput-method
                        S4 Method for printing posterior probabilities,
                        membership, entropy, and accuracy.
show,figOutput-method   S4 Method for displaying figures.
