mardiamv25              Simulated data
rsem                    The main function for robust SEM analysis
rsem-package            Robust Structural Equation Modeling with
                        Missing Data and Auxiliary Variables
rsem.Ascov              Sandwich-type covariance matrix
rsem.DP                 Generate a duplication matrix
rsem.emmusig            Robust mean and covariance matrix using
                        Huber-type weight
rsem.fit                Calculate robust test statistics
rsem.gname              Internal function
rsem.index              rsem.index function
rsem.indexv             rsem.indexv function
rsem.indexvc            rsem.indexvc function
rsem.lavaan             Conduct robust SEM analysis using lavaan
rsem.pattern            Obtaining missing data patterns
rsem.print              Organize the output for Lavaan with robust s.e.
                        and test statistics
rsem.se                 Calculate robust standard errors
rsem.ssq                Calculate the squared sum of a matrix
rsem.switch             swith function
rsem.switch.gamma       Internal function
rsem.vec                Stacking a matrix to a vector
rsem.vech               Stacking lower triange of a matrix to a vector
rsem.weight             Calculate weight for each subject
semdiag.combinations    Enumerate the Combinations of the Elements of a
                        Vector
semdiag.read.eqs        Import of EQS outputs into R
semdiag.run.eqs         Run EQS from R
