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semTools (version 0.4-9)

Useful Tools for Structural Equation Modeling

Description

Provides useful tools for structural equation modeling packages.

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Install

install.packages('semTools')

Monthly Downloads

19,104

Version

0.4-9

License

GPL (>= 2)

Issues

6

Pull Requests

2

Stars

80

Forks

36

Maintainer

Sunthud Pornprasertmanit

Last Published

June 29th, 2015

Functions in semTools (0.4-9)

mardiaKurtosis

Finding Mardia's multivariate kurtosis
loadingFromAlpha

Find standardized factor loading from coefficient alpha
nullMx

Analyzing data using a null model
SSpower

Power for model parameters
auxiliary

Analyzing data with full-information maximum likelihood with auxiliary variables
clipboard_saveFile

Copy or save the result of lavaan or FitDiff objects into a clipboard or a file
partialInvariance

Partial Measurement Invariance Testing Across Groups
bsBootMiss

Bollen-Stine Bootstrap with the Existence of Missing Data
compareFit

Build an object summarizing fit indices across multiple models
EFA-class

Class For Rotated Results from EFA
findRMSEApower

Find the statistical power based on population RMSEA
mardiaSkew

Finding Mardia's multivariate skewness
measurementInvariance

Measurement Invariance Tests
efaUnrotate

Analyze Unrotated Exploratory Factor Analysis Model
permuteMeasEq

Permutation Randomization Tests of Measurement Equivalence and Differential Item Functioning (DIF)
findRMSEAsamplesize

Find the minimum sample size for a given statistical power based on population RMSEA
parcelAllocation

Random Allocation of Items to Parcels in a Structural Equation Model
boreal

The Boreal Vegetation Dataset
combinequark

Combine the results from the quark function
findRMSEAsamplesizenested

Find sample size given a power in nested model comparison
probe3WayMC

Probing two-way interaction on the no-centered or mean-centered latent interaction
probe2WayMC

Probing two-way interaction on the no-centered or mean-centered latent interaction
exLong

Simulated Data set to Demonstrate Longitudinal Measurement Invariance
dat3way

Simulated Dataset to Demonstrate Three-way Latent Interaction
lavaanStar-class

Class For Representing A (Fitted) Latent Variable Model with Additional Elements
plotRMSEApowernested

Plot power of nested model RMSEA
fmi

Fraction of Missing Information.
runMI

Multiply impute and analyze data using lavaan
mvrnonnorm

Generate Non-normal Data using Vale and Maurelli (1983) method
spatialCorrect

Calculate reliability values of factors
saturateMx

Analyzing data using a saturate model
permuteMeasEq-class

Class for the Results of Permutation Randomization Tests of Measurement Equivalence and DIF
simParcel

Simulated Data set to Demonstrate Random Allocations of Parcels
probe3WayRC

Probing three-way interaction on the residual-centered latent interaction
impliedFactorStat

Calculate the model-implied factor means and covariance matrix.
kurtosis

Finding excessive kurtosis
kd

Generate data via the Kaiser-Dickman (1962) algorithm.
maximalRelia

Calculate maximal reliability
plotRMSEAdist

Plot the sampling distributions of RMSEA
residualCovariate

Residual centered all target indicators by covariates
plotProbe

Plot the graphs for probing latent interaction
net

Nesting and Equivalence Testing
miPowerFit

Modification indices and their power approach for model fit evaluation
probe2WayRC

Probing two-way interaction on the residual-centered latent interaction
quark

Quark
singleParamTest

Single Parameter Test Divided from Nested Model Comparison
findRMSEApowernested

Find power given a sample size in nested model comparison
lisrel2lavaan

Latent variable modeling in lavaan using LISREL syntax
longInvariance

Measurement Invariance Tests Within Person
standardizeMx

Find standardized estimates for OpenMx output
BootMiss-class

Class For the Results of Bollen-Stine Bootstrap with Incomplete Data
dat2way

Simulated Dataset to Demonstrate Two-way Latent Interaction
Net-class

Class For the Result of Nesting and Equivalence Testing
fitMeasuresMx

Find fit measures from an MxModel result
rotate

Implement orthogonal or oblique rotation
moreFitIndices

Calculate more fit indices
plotRMSEApower

Plot power curves for RMSEA
wald

Calculate multivariate Wald statistics
skew

Finding skewness
datCat

Simulated Data set to Demonstrate Categorical Measurement Invariance
measurementInvarianceCat

Measurement Invariance Tests for Categorical Items
reliabilityL2

Calculate the reliability values of a second-order factor
imposeStart

Specify starting values from a lavaan output
FitDiff-class

Class For Representing A Template of Model Fit Comparisons
indProd

Make products of indicators using no centering, mean centering, double-mean centering, or residual centering
monteCarloMed

Monte Carlo Confidence Intervals to Test Complex Indirect Effects
nullRMSEA

Calculate the RMSEA of the null model
reliability

Calculate reliability values of factors