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semTools (version 0.2-8)

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

0.2-8

License

GPL (>= 2)

Issues

6

Pull Requests

2

Stars

80

Forks

36

Maintainer

Sunthud Pornprasertmanit

Last Published

October 26th, 2012

Functions in semTools (0.2-8)

clipboard_saveFile

Copy or save the result of lavaan object into a clipboard or a file
dat3way

Simulated Dataset to Demonstrate Three-way Latent Interaction
auxiliary

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

Find the minimum sample size for a given statistical power based on population RMSEA
dat2way

Simulated Dataset to Demonstrate Two-way Latent Interaction
mardiaKurtosis

Finding Mardia's multivariate kurtosis
probe3WayMC

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

Residual centered all target indicators by covariates
findRMSEApower

Find the statistical power based on population RMSEA
kurtosis

Finding excessive kurtosis
simParcel

Simulated Data set to Demonstrate Random Allocations of Parcels
probe2WayMC

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

Randomly Split a Data Set into Halves
plotRMSEAdist

Plot the sampling distributions of RMSEA
mardiaSkew

Finding Mardia's multivariate skewness
loadingFromAlpha

Find standardized factor loading from coefficient alpha
measurementInvariance

Measurement Invariance Tests
probe3WayRC

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

Measurement Invariance Tests Within Person
skew

Finding skewness
plotRMSEApower

Plot power curves for RMSEA
monteCarloMed

Monte Carlo Confidence Intervals to Test Complex Indirect Effects
parcelAllocation

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

Plot the graphs for probing latent interaction
moreFitIndices

Calculate more fit indices
exLong

Simulated Data set to Demonstrate Longitudinal Measurement Invariance
indProd

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

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

Multiply impute and analyze data using lavaan
miPowerFit

Modification indices and their power approach for model fit evaluation
probe2WayRC

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