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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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Install
install.packages('semTools')
Monthly Downloads
12,396
Version
0.3-0
License
GPL (>= 2)
Issues
8
Pull Requests
3
Stars
72
Forks
35
Repository
https://github.com/simsem/semTools/wiki
Maintainer
Sunthud Pornprasertmanit
Last Published
February 10th, 2013
Functions in semTools (0.3-0)
Search functions
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