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")