Man pages for rsem
Robust Structural Equation Modeling with Missing Data and Auxiliary Variables
| mardiamv25 | 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-package | Robust Structural Equation Modeling with Missing Data and... |
| rsem.pattern | Obtaining missing data patterns |
| rsem.print | Organize the output for Lavaan with robust s.e. and test... |
| 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 |
