Package: metaSEM 1.5.0

metaSEM: Meta-Analysis using Structural Equation Modeling

A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' and 'lavaan' packages. It also implements various procedures to perform meta-analytic structural equation modeling on the correlation and covariance matrices, see Cheung (2015) <doi:10.3389/fpsyg.2014.01521>.

Authors:Mike Cheung [aut, cre]

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NEWS

# Install 'metaSEM' in R:
install.packages('metaSEM', repos = c('https://mikewlcheung.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/mikewlcheung/metasem/issues

Datasets:
  • Aloe14 - Multivariate effect sizes between classroom management self-efficacy
  • BCG - Dataset on the Effectiveness of the BCG Vaccine for Preventing Tuberculosis
  • Becker09 - Ten Studies of Correlation Matrices used by Becker
  • Becker83 - Studies on Sex Differences in Conformity Reported by Becker
  • Becker92 - Six Studies of Correlation Matrices reported by Becker
  • Becker94 - Five Studies of Ten Correlation Matrices reported by Becker and Schram
  • Berkey98 - Five Published Trails from Berkey et al.
  • Boer16 - Correlation Matrices from Boer et al.
  • Bornmann07 - A Dataset from Bornmann et al.
  • Chan17 - Dataset from Chan, Jones, Jamieson, and Albarracin
  • Cheung00 - Fifty Studies of Correlation Matrices used in Cheung and Chan
  • Cheung09 - A Dataset from TSSEM User's Guide Version 1.11 by Cheung
  • Cooke16 - Correlation Matrices from Cooke et al.
  • Cooper03 - Selected effect sizes from Cooper et al.
  • Digman97 - Factor Correlation Matrices of Big Five Model from Digman
  • Gleser94 - Two Datasets from Gleser and Olkin
  • Gnambs18 - Correlation Matrices from Gnambs, Scharl, and Schroeders
  • HedgesOlkin85 - Effects of Open Education Reported by Hedges and Olkin
  • Hox02 - Simulated Effect Sizes Reported by Hox
  • Hunter83 - Fourteen Studies of Correlation Matrices reported by Hunter
  • Jaramillo05 - Dataset from Jaramillo, Mulki and Marshall
  • Kalaian96 - Multivariate effect sizes reported by Kalaian and Raudenbush
  • Mak09 - Eight studies from Mak et al.
  • Mathieu15 - Correlation Matrices from Mathieu et al.
  • Nam03 - Dataset on the Environmental Tobacco Smoke (ETS) on children's health
  • Nohe15A1 - Correlation Matrices from Nohe et al.
  • Nohe15A2 - Correlation Matrices from Nohe et al.
  • Norton13 - Studies on the Hospital Anxiety and Depression Scale Reported by Norton et al.
  • Roorda11 - Studies on Students' School Engagement and Achievement Reported by Roorda et al.
  • Scalco17 - Correlation Matrices from Scalco et al.
  • Stadler15 - Correlations from Stadler et al.
  • Tenenbaum02 - Correlation coefficients reported by Tenenbaum and Leaper
  • issp05 - A Dataset from ISSP
  • issp89 - A Dataset from Cheung and Chan
  • vanderPol17 - Dataset on the effectiveness of multidimensional family therapy in treating adolescents with multiple behavior problems
  • wvs94a - Forty-four Studies from Cheung
  • wvs94b - Forty-four Covariance Matrices on Life Satisfaction, Job Satisfaction, and Job Autonomy

On CRAN:

meta-analysismeta-analytic-semmissing-datamultilevel-modelsmultivariate-analysisstructural-equation-modelingstructural-equation-models

9.44 score 30 stars 1 packages 211 scripts 1.2k downloads 17 mentions 134 exports 22 dependencies

Last updated 2 months agofrom:ce4d26105d. Checks:OK: 7. Indexed: yes.

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Doc / VignettesOKOct 27 2024
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R-4.4-winOKOct 27 2024
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R-4.3-winOKOct 27 2024
R-4.3-macOKOct 27 2024

Exports:anova.metaanova.meta3LFIMLanova.mxsemanova.osmasemanova.osmasem2anova.remlanova.wlsas.mxAlgebraas.mxMatrixas.symMatrixasyCovasyCovOldbdiagMatbdiagRepbootuniR1bootuniR2calEffSizescheckRAMcoef.metacoef.meta3LFIMLcoef.mxsemcoef.osmasemcoef.osmasem2coef.remlcoef.tssem1FEMcoef.tssem1FEM.clustercoef.tssem1REMcoef.wlscoef.wls.clusterCor2DataFramecreate.Fmatrixcreate.modMatrixcreate.mxMatrixcreate.mxModelcreate.Tau2create.Vcreate.vechsRDiagDiag<-homoStatimpliedRindirectEffectis.pdlavaan2RAMlist2matrixmatrix2bdiagmetameta2semPlotmeta3meta3Lmeta3LFIMLmeta3XmetaFIMLosmasemosmasem2osmasemR2osmasemSRMRpattern.npattern.naplot.characterplot.metaplot.mxsemplot.osmasemplot.osmasem2plot.wlsprint.impliedRprint.metaprint.meta3LFIMLprint.remlprint.summary.bootuniR2print.summary.Cor3Lprint.summary.CorPopprint.summary.metaprint.summary.meta3LFIMLprint.summary.mxsemprint.summary.remlprint.summary.tssem1FEMprint.summary.wlsprint.tssem1FEMprint.tssem1FEM.clusterprint.tssem1REMprint.uniR1print.wlsrCorrCor3LrCorPoprCorSamreadFullMatreadLowTriMatreadStackVecremlreml3reml3LrerunrimpliedRsemsmdMESsmdMTSsummary.bootuniR2summary.Cor3Lsummary.CorPopsummary.metasummary.meta3LFIMLsummary.mxsemsummary.osmasemsummary.osmasem2summary.remlsummary.tssem1FEMsummary.tssem1FEM.clustersummary.tssem1REMsummary.wlssummary.wls.clustertssem1tssem1FEMtssem1REMtssem2tssemParaVaruniR1uniR2lavaanuniR2mxVarCorrvcov.metavcov.meta3LFIMLvcov.mxsemvcov.osmasemvcov.osmasem2vcov.remlvcov.tssem1FEMvcov.tssem1FEM.clustervcov.tssem1REMvcov.wlsvcov.wls.clustervec2symMatwls

Dependencies:BHclidigestellipsegluelatticelavaanlifecycleMASSMatrixmnormtmvtnormnumDerivOpenMxpbivnormquadprogRcppRcppEigenRcppParallelrlangrpfStanHeaders

metaSEM: An R Package for Meta-Analysis using Structural Equation Modeling

Rendered frommetaSEM.pdf.asisusingR.rsp::asison Oct 27 2024.

Last update: 2016-07-09
Started: 2016-07-09

metaSEM: Examples

Rendered fromExamples.html.asisusingR.rsp::asison Oct 27 2024.

Last update: 2016-07-09
Started: 2016-07-09

Readme and manuals

Help Manual

Help pageTopics
Meta-Analysis using Structural Equation ModelingmetaSEM-package metaSEM
Multivariate effect sizes between classroom management self-efficacy (CMSE) and other variables reported by Aloe et al. (2014)Aloe14
Compare Nested Models with Likelihood Ratio Statisticanova.meta anova.meta3LFIML anova.mxsem anova.osmasem anova.osmasem2 anova.reml anova.wls
Convert a Character Matrix into MxAlgebra-classas.mxAlgebra
Convert a Matrix into MxMatrix-classas.mxMatrix
Convert a Character Matrix with Starting Values to a Character Matrix without Starting Valuesas.symMatrix
Compute Asymptotic Covariance Matrix of a Correlation/Covariance MatrixasyCov asyCovOld
Dataset on the Effectiveness of the BCG Vaccine for Preventing TuberculosisBCG
Create a Block Diagonal MatrixbdiagMat
Create a Block Diagonal Matrix by Repeating the InputbdiagRep
Ten Studies of Correlation Matrices used by Becker (2009)Becker09
Studies on Sex Differences in Conformity Reported by Becker (1983)Becker83
Six Studies of Correlation Matrices reported by Becker (1992; 1995)Becker92
Five Studies of Ten Correlation Matrices reported by Becker and Schram (1994)Becker94
Five Published Trails from Berkey et al. (1998)Berkey98
Correlation Matrices from Boer et al. (2016)Boer16
Parametric bootstrap on the univariate R (uniR) objectbootuniR1
Fit Models on the bootstrapped correlation matricesbootuniR2
A Dataset from Bornmann et al. (2007)Bornmann07
Calculate Effect Sizes using lavaan ModelscalEffSizes
Dataset from Chan, Jones, Jamieson, and Albarracin (2017)Chan17
Check the correctness of the RAM formulationcheckRAM
Fifty Studies of Correlation Matrices used in Cheung and Chan (2000)Cheung00
A Dataset from TSSEM User's Guide Version 1.11 by Cheung (2009)Cheung09
Extract Parameter Estimates from various classes.coef.meta coef.meta3LFIML coef.mxsem coef.osmasem coef.osmasem2 coef.reml coef.tssem1FEM coef.tssem1FEM.cluster coef.tssem1REM coef.wls coef.wls.cluster
Correlation Matrices from Cooke et al. (2016)Cooke16
Selected effect sizes from Cooper et al. (2003)Cooper03
Convert correlation or covariance matrices into a dataframe of correlations or covariances with their sampling covariance matricesCor2DataFrame
Create an F matrix to select observed variablescreate.Fmatrix
Create a moderator matrix used in OSMASEMcreate.modMatrix
Create a Vector into MxMatrix-classcreate.mxMatrix
Create a variance component of the heterogeneity of the random effectscreate.Tau2
Create a V-known matrixcreate.V
Create a model implied correlation matrix with implicit diagonal constraintscreate.vechsR
Matrix DiagonalsDiag Diag<-
Factor Correlation Matrices of Big Five Model from Digman (1997)Digman97
Two Datasets from Gleser and Olkin (1994)Gleser94
Correlation Matrices from Gnambs, Scharl, and Schroeders (2018)Gnambs18
Effects of Open Education Reported by Hedges and Olkin (1985)HedgesOlkin85
Test the Homogeneity of Effect SizeshomoStat
Simulated Effect Sizes Reported by Hox (2002)Hox02
Fourteen Studies of Correlation Matrices reported by Hunter (1983)Hunter83
Create or Generate the Model Implied Correlation or Covariance MatricesimpliedR rimpliedR
Estimate the asymptotic covariance matrix of standardized or unstandardized indirect and direct effectsindirectEffect
Test Positive Definiteness of a List of Square Matricesis.pd
A Dataset from ISSP (2005)issp05
A Dataset from Cheung and Chan (2005; 2009)issp89
Dataset from Jaramillo, Mulki and Marshall (2005)Jaramillo05
Multivariate effect sizes reported by Kalaian and Raudenbush (1996)Kalaian96
Convert 'lavaan' models to RAM modelslavaan2RAM
Convert a List of Symmetric Matrices into a Stacked Matrixlist2matrix
Eight studies from Mak et al. (2009)Mak09
Correlation Matrices from Mathieu et al. (2015)Mathieu15
Convert a Matrix into a Block Diagonal Matrixmatrix2bdiag
Univariate and Multivariate Meta-Analysis with Maximum Likelihood Estimationmeta metaFIML
Convert 'metaSEM' objects into 'semPlotModel' objects for plottingmeta2semPlot
Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimationmeta3 meta3L meta3LFIML meta3X
Dataset on the Environmental Tobacco Smoke (ETS) on children's healthNam03
Correlation Matrices from Nohe et al. (2015)Nohe15A1 Nohe15A2
Studies on the Hospital Anxiety and Depression Scale Reported by Norton et al. (2013)Norton13
One-stage meta-analytic structural equation modelingosmasem osmasem2
Calculate the R2 in OSMASEM and OSMASEM3LosmasemR2
Calculate the SRMR in OSMASEM and OSMASEM3LosmasemSRMR
Display the Accumulative Sample Sizes for the Covariance Matrixpattern.n
Display the Pattern of Missing Data of a List of Square Matricespattern.na
Plot methods for various objectsplot.character plot.meta plot.mxsem plot.osmasem plot.osmasem2 plot.wls
Print Methods for various Objectsprint.impliedR print.meta print.meta3LFIML print.reml print.tssem1FEM print.tssem1FEM.cluster print.tssem1REM print.uniR1 print.wls
Generate (Nested) Sample/Population Correlation/Covariance MatricesrCor rCor3L rCorPop rCorSam
Read External Correlation/Covariance MatricesreadFullMat readLowTriMat readStackVec
Estimate Variance Components with Restricted (Residual) Maximum Likelihood Estimationreml
Estimate Variance Components in Three-Level Univariate Meta-Analysis with Restricted (Residual) Maximum Likelihood Estimationreml3 reml3L
Rerun models via mxTryHard()rerun
Studies on Students' School Engagement and Achievement Reported by Roorda et al. (2011)Roorda11
Correlation Matrices from Scalco et al. (2017)Scalco17
Fit a structural equation model using OpenMxcreate.mxModel sem
Compute Effect Sizes for Multiple End-point StudiessmdMES
Compute Effect Sizes for Multiple Treatment StudiessmdMTS
Correlations from Stadler et al. (2015)Stadler15
Summary Method for tssem1, wls, meta, and meta3LFIML Objectsprint.summary.bootuniR2 print.summary.Cor3L print.summary.CorPop print.summary.meta print.summary.meta3LFIML print.summary.mxsem print.summary.reml print.summary.tssem1FEM print.summary.tssem1FEM.cluster print.summary.wls summary.bootuniR2 summary.Cor3L summary.CorPop summary.meta summary.meta3LFIML summary.mxsem summary.osmasem summary.osmasem2 summary.reml summary.tssem1FEM summary.tssem1FEM.cluster summary.tssem1REM summary.wls summary.wls.cluster
Correlation coefficients reported by Tenenbaum and Leaper (2002)Tenenbaum02
First Stage of the Two-Stage Structural Equation Modeling (TSSEM)tssem1 tssem1FEM tssem1REM
Estimate the heterogeneity (SD) of the parameter estimates of the TSSEM objecttssemParaVar
First Stage analysis of the univariate R (uniR) approachuniR1
Second Stage analysis of the univariate R (uniR) approachuniR2lavaan uniR2mx
Dataset on the effectiveness of multidimensional family therapy in treating adolescents with multiple behavior problemsvanderPol17
Extract Variance-Covariance Matrix of the Random EffectsVarCorr
Extract Covariance Matrix Parameter Estimates from Objects of Various Classesvcov.meta vcov.meta3LFIML vcov.mxsem vcov.osmasem vcov.osmasem2 vcov.reml vcov.tssem1FEM vcov.tssem1FEM.cluster vcov.tssem1REM vcov.wls vcov.wls.cluster
Convert a Vector into a Symmetric Matrixvec2symMat
Conduct a Correlation/Covariance Structure Analysis with WLStssem2 wls
Forty-four Studies from Cheung (2013)wvs94a
Forty-four Covariance Matrices on Life Satisfaction, Job Satisfaction, and Job Autonomywvs94b