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semTools (version 0.3-0)

Useful tools for structural equation modeling.

Description

This package provide useful tools for structural equation modeling analysis.

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Version

Install

install.packages('semTools')

Monthly Downloads

18,379

Version

0.3-0

License

GPL (>= 2)

Issues

6

Pull Requests

2

Stars

80

Forks

36

Maintainer

Sunthud Pornprasertmanit

Last Published

February 10th, 2013

Functions in semTools (0.3-0)

dat2way

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

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

Finding Mardia's multivariate kurtosis
runMI

Multiply impute and analyze data using lavaan
saturateMx

Analyzing data using a saturate model
kurtosis

Finding excessive kurtosis
moreFitIndices

Calculate more fit indices
plotRMSEApowernested

Plot power of nested model RMSEA
measurementInvariance

Measurement Invariance Tests
probe2WayMC

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

Plot the graphs for probing latent interaction
findRMSEApower

Find the statistical power based on population RMSEA
findRMSEApowernested

Find power given a sample size in nested model comparison
findRMSEAsamplesize

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

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

Find fit measures from an MxModel result
findRMSEAsamplesizenested

Find sample size given a power in nested model comparison
reliabilityL2

Calculate the reliability values of a second-order factor
plotRMSEAdist

Plot the sampling distributions of RMSEA
skew

Finding skewness
parcelAllocation

Random Allocation of Items to Parcels in a Structural Equation Model
probe3WayMC

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

Copy or save the result of lavaan object into a clipboard or a file
mardiaSkew

Finding Mardia's multivariate skewness
lisrel2lavaan

Latent variable modeling in lavaan using LISREL syntax
auxiliary

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

Calculate the RMSEA of the null model
exLong

Simulated Data set to Demonstrate Longitudinal Measurement Invariance
plotRMSEApower

Plot power curves for RMSEA
monteCarloMed

Monte Carlo Confidence Intervals to Test Complex Indirect Effects
reliability

Calculate reliability values of factors
fmi

Fraction of Missing Information.
residualCovariate

Residual centered all target indicators by covariates
dat3way

Simulated Dataset to Demonstrate Three-way Latent Interaction
longInvariance

Measurement Invariance Tests Within Person
nullMx

Analyzing data using a null model
standardizeMx

Find standardized estimates for OpenMx output
probe3WayRC

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

Modification indices and their power approach for model fit evaluation
simParcel

Simulated Data set to Demonstrate Random Allocations of Parcels
indProd

Make products of indicators using no centering, mean centering, double-mean centering, or residual centering
probe2WayRC

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

Find standardized factor loading from coefficient alpha