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semTools  

Useful Tools for Structural Equation Modeling
View on CRAN: Click here


Download and install semTools package within the R console
Install from CRAN:
install.packages("semTools")

Install from Github:
library("remotes")
install_github("cran/semTools")

Install by package version:
library("remotes")
install_version("semTools", "0.5-7")



Attach the package and use:
library("semTools")
Maintained by
Terrence D. Jorgensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-05-18
Latest Update: 2025-03-13
Description:
Provides tools for structural equation modeling, many of which extend the 'lavaan' package; for example, to pool results from multiple imputations, probe latent interactions, or test measurement invariance.
How to cite:
Terrence D. Jorgensen (2012). semTools: Useful Tools for Structural Equation Modeling. R package version 0.5-7, https://cran.r-project.org/web/packages/semTools. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1-0 (2012-05-18 16:54), 0.2-0 (2012-07-09 18:48), 0.2-6 (2012-09-11 18:36), 0.2-7 (2012-10-16 15:43), 0.2-8 (2012-10-26 21:56), 0.2-11 (2012-12-31 22:59), 0.2-12 (2013-01-02 07:54), 0.3-0 (2013-02-10 20:17), 0.3-2 (2013-03-17 17:54), 0.4-0 (2013-05-03 21:44), 0.4-6 (2014-10-03 20:49), 0.4-9 (2015-06-29 02:26), 0.4-11 (2016-03-01 10:43), 0.4-12 (2016-06-10 23:29), 0.4-13 (2016-09-06 16:54), 0.4-14 (2016-10-22 19:06), 0.5-0 (2018-06-27 15:13), 0.5-1 (2018-09-24 14:00), 0.5-2 (2019-08-30 11:50), 0.5-3 (2020-05-27 19:00), 0.5-4 (2021-01-11 09:00), 0.5-5 (2021-07-07 18:30), 0.5-6 (2022-05-10 09:00), 0.5-7 (2025-03-13 09:40)
Other packages that cited semTools R package
View semTools citation profile
Other R packages that semTools depends, imports, suggests or enhances
Complete documentation for semTools
Functions, R codes and Examples using the semTools R package
Some associated functions: AVE . BootMiss-class . EFA-class . FitDiff-class . Net-class . PAVranking . SSpower . auxiliary . bsBootMiss . calculate.D2 . chisqSmallN . clipboard . combinequark . compRelSEM . compareFit . dat2way . dat3way . datCat . discriminantValidity . efa.ekc . efaUnrotate . exLong . findRMSEApower . findRMSEApowernested . findRMSEAsamplesize . findRMSEAsamplesizenested . fmi . htmt . imposeStart . indProd . kd . kurtosis . lavTestLRT.mi . lavTestScore.mi . lavTestWald.mi . lavaan.mi-class . lavaan2emmeans . loadingFromAlpha . longInvariance-deprecated . lrv2ord . mardiaKurtosis . mardiaSkew . maximalRelia . measEq.syntax-class . measEq.syntax . measurementInvariance-deprecated . measurementInvarianceCat-deprecated . miPowerFit . modindices.mi . monteCarloCI . moreFitIndices . mvrnonnorm . net . nullRMSEA . parcelAllocation . partialInvariance . permuteMeasEq-class . permuteMeasEq . plausibleValues . plotProbe . plotRMSEAdist . plotRMSEApower . plotRMSEApowernested . poolMAlloc . probe2WayMC . probe2WayRC . probe3WayMC . probe3WayRC . quark . reliability-deprecated . reliabilityL2-deprecated . residualCovariate . rotate . runMI . semTools-deprecated . semTools . simParcel . singleParamTest . skew . splitSample . tukeySEM . twostage-class . twostage . 
Some associated R codes: EmpKaiser.R . NET.R . PAVranking.R . TSML.R . aa_semTools-deprecated.R . auxiliary.R . clipboard.R . compareFit.R . data.R . dataDiagnosis.R . discriminantValidity.R . efa.R . emmeans_lavaan.R . fitIndices.R . fmi.R . htmt.R . imposeStart.R . indProd.R . kd.R . loadingFromAlpha.R . longInvariance.R . measEq.R . measurementInvariance.R . measurementInvarianceCat.R . miPowerFit.R . missingBootstrap.R . monteCarloCI.R . mvrnonnorm.R . ordMoments.R . parcelAllocation.R . partialInvariance.R . permuteMeasEq.R . plausibleValues.R . poolMAlloc.R . powerAnalysisNested.R . powerAnalysisRMSEA.R . powerAnalysisSS.R . probeInteraction.R . quark.R . reliability.R . residualCovariate.R . runMI-LRT.R . runMI-Wald.R . runMI-methods.R . runMI-modification.R . runMI-score.R . runMI.R . semTools.R . singleParamTest.R . splitSample.R . tukeySEM.R . zzz.R .  Full semTools package functions and examples
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