R: semTools: Useful Tools for Structural Equation Modeling

semTools {semTools} | R Documentation

## semTools: Useful Tools for Structural Equation Modeling

### Description

The semTools package provides many miscellaneous functions that are useful for statistical analysis involving SEM in R. Many functions extend the funtionality of the lavaan package. Some sets of functions in semTools correspond to the same theme. We call such a collection of functions a suite. Our suites include:

- Model Fit Evaluation: `moreFitIndices`, `nullRMSEA`, `singleParamTest`, `miPowerFit`, and `chisqSmallN`

- Measurement Invariance: `measEq.syntax`, `partialInvariance`, `partialInvarianceCat`, and `permuteMeasEq`

- Power Analysis: `SSpower`, `findRMSEApower`, `plotRMSEApower`, `plotRMSEAdist`, `findRMSEAsamplesize`, `findRMSEApowernested`, `plotRMSEApowernested`, and `findRMSEAsamplesizenested`

- Missing Data Analysis: `auxiliary`, `runMI`, `twostage`, `fmi`, `bsBootMiss`, `quark`, and `combinequark`

- Latent Interactions: `indProd`, `orthogonalize`, `probe2WayMC`, `probe3WayMC`, `probe2WayRC`, `probe3WayRC`, and `plotProbe`

- Exploratory Factor Analysis (EFA): `efa.ekc`, `efaUnrotate`, `orthRotate`, `oblqRotate`, and `funRotate`

- Reliability Estimation: `reliability`, `reliabilityL2`, and `maximalRelia`

- Parceling: `parcelAllocation`, `PAVranking`, and `poolMAlloc`

- Non-Normality: `skew`, `kurtosis`, `mardiaSkew`, `mardiaKurtosis`, and `mvrnonnorm`

All users of R (or SEM) are invited to submit functions or ideas for functions by contacting the maintainer, Terrence Jorgensen (TJorgensen314@gmail.com). Contributors are encouraged to use `Roxygen` comments to document their contributed code, which is consistent with the rest of semTools. Read the vignette from the roxygen2 package for details: `vignette("rd", package = "roxygen2")`

[Package semTools version 0.5-1 Index]