rsem-package |
Robust Structural Equation Modeling with Missing Data and Auxiliary Variables |
mardiamv25 |
Simulated data |
mardiamv25_contaminated |
Simulated data |
rsem |
The main function for robust SEM analysis |
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.call.eqs |
Run EQS from R |
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 |