Meta-Analysis using Structural Equation Modeling

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Documentation for package ‘metaSEM’ version 0.9.12

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A B C D H I J L M N P R S T U V W

metaSEM-package Meta-Analysis using Structural Equation Modeling

-- A --

Aloe14 Multivariate effect sizes between classroom management self-efficacy (CMSE) and other variables reported by Aloe et al. (2014)
anova.meta Compare Nested Models with Likelihood Ratio Statistic
anova.meta3X Compare Nested Models with Likelihood Ratio Statistic
anova.reml Compare Nested Models with Likelihood Ratio Statistic
anova.wls Compare Nested Models with Likelihood Ratio Statistic
as.mxMatrix Convert a Matrix into MxMatrix-class
asyCov Compute Asymptotic Covariance Matrix of a Correlation/Covariance Matrix

-- B --

BCG Dataset on the Effectiveness of the BCG Vaccine for Preventing Tuberculosis
bdiagMat Create a Block Diagonal Matrix
bdiagRep Create a Block Diagonal Matrix by Repeating the Input
Becker09 Ten Studies of Correlation Matrices used by Becker (2009)
Becker83 Studies on Sex Differences in Conformity Reported by Becker (1983)
Becker92 Six Studies of Correlation Matrices reported by Becker (1992; 1995)
Becker94 Five Studies of Ten Correlation Matrices reported by Becker and Schram (1994)
Berkey98 Five Published Trails from Berkey et al. (1998)
Boer16 Correlation Matrices from Boer et al. (2016)
Bornmann07 A Dataset from Bornmann et al. (2007)

-- C --

Cheung00 Fifty Studies of Correlation Matrices used in Cheung and Chan (2000)
Cheung09 A Data Set from TSSEM User's Guide Version 1.11 by Cheung (2009)
coef.meta Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.meta3X Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.MxRAMModel Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.reml Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.tssem1FEM Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.tssem1FEM.cluster Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.tssem1REM Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.wls Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.wls.cluster Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
Cooke16 Correlation Matrices from Cooke et al. (2016)
Cooper03 Selected effect sizes from Cooper et al. (2003)
create.Fmatrix Create an F matrix to select observed variables
create.mxMatrix Create a Vector into MxMatrix-class

-- D --

Diag Matrix Diagonals
Diag<- Matrix Diagonals
Digman97 Factor Correlation Matrices of Big Five Model from Digman (1997)

-- H --

HedgesOlkin85 Effects of Open Education Reported by Hedges and Olkin (1985)
homoStat Test the Homogeneity of Effect Sizes
Hox02 Simulated Effect Sizes Reported by Hox (2002)
Hunter83 Fourteen Studies of Correlation Matrices reported by Hunter (1983)

-- I --

impliedR Create the Model Implied Correlation or Covariance Matrix
indirectEffect Estimate the asymptotic covariance matrix of standardized or unstandardized indirect and direct effects
is.pd Test Positive Definiteness of a List of Square Matrices
issp05 Data Set from ISSP (2005)
issp89 Data Set from Cheung and Chan (2005; 2009)

-- J --

Jaramillo05 Dataset from Jaramillo, Mulki & Marshall (2005)

-- L --

lavaan2RAM Convert 'lavaan' models to RAM models
list2matrix Convert a List of Symmetric Matrices into a Stacked Matrix

-- M --

Mak09 Eight studies from Mak et al. (2009)
matrix2bdiag Convert a Matrix into a Block Diagonal Matrix
meta Univariate and Multivariate Meta-Analysis with Maximum Likelihood Estimation
meta2semPlot Convert 'metaSEM' objects into 'semPlotModel' objects for plotting
meta3 Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
meta3X Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
metaSEM Meta-Analysis using Structural Equation Modeling

-- N --

Nohe15A1 Correlation Matrices from Nohe et al. (2015)
Nohe15A2 Correlation Matrices from Nohe et al. (2015)
Norton13 Studies on the Hospital Anxiety and Depression Scale Reported by Norton et al. (2013)

-- P --

pattern.n Display the Accumulative Sample Sizes for the Covariance Matrix
pattern.na Display the Pattern of Missing Data of a List of Square Matrices
plot.meta Plot method for meta objects
print.impliedR Print Methods for various Objects
print.meta Print Methods for various Objects
print.meta3X Print Methods for various Objects
print.reml Print Methods for various Objects
print.summary.meta Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.meta3X Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.reml Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.tssem1FEM Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.tssem1FEM.cluster Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.wls Summary Method for tssem1, wls, meta and meta3X Objects
print.tssem1FEM Print Methods for various Objects
print.tssem1FEM.cluster Print Methods for various Objects
print.tssem1REM Print Methods for various Objects
print.uniR1 Print Methods for various Objects
print.wls Print Methods for various Objects

-- R --

readFullMat Read External Correlation/Covariance Matrices
readLowTriMat Read External Correlation/Covariance Matrices
readStackVec Read External Correlation/Covariance Matrices
reml Estimate Variance Components with Restricted (Residual) Maximum Likelihood Estimation
reml3 Estimate Variance Components in Three-Level Univariate Meta-Analysis with Restricted (Residual) Maximum Likelihood Estimation
rerun Rerun models via mxTryHard()
Roorda11 Studies on Students' School Engagement and Achievement Reported by Roorda et al. (2011)

-- S --

summary.meta Summary Method for tssem1, wls, meta and meta3X Objects
summary.meta3X Summary Method for tssem1, wls, meta and meta3X Objects
summary.reml Summary Method for tssem1, wls, meta and meta3X Objects
summary.tssem1FEM Summary Method for tssem1, wls, meta and meta3X Objects
summary.tssem1FEM.cluster Summary Method for tssem1, wls, meta and meta3X Objects
summary.tssem1REM Summary Method for tssem1, wls, meta and meta3X Objects
summary.wls Summary Method for tssem1, wls, meta and meta3X Objects
summary.wls.cluster Summary Method for tssem1, wls, meta and meta3X Objects

-- T --

tssem1 First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
tssem1FEM First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
tssem1REM First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
tssem2 Conduct a Correlation/Covariance Structure Analysis with WLS

-- U --

uniR1 First Stage analysis of the univariate R (uniR) approach
uniR2lavaan Second Stage analysis of the univariate R (uniR) approach
uniR2mx Second Stage analysis of the univariate R (uniR) approach

-- V --

VarCorr Extract Variance Covariance Matrix of the Random Effects
vcov.meta Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.meta3X Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.MxRAMModel Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.reml Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.tssem1FEM Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.tssem1FEM.cluster Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.tssem1REM Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.wls Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.wls.cluster Extract Covariance Matrix Parameter Estimates from Various Objects
vec2symMat Convert a Vector into a Symmetric Matrix

-- W --

wls Conduct a Correlation/Covariance Structure Analysis with WLS
wvs94a Forty-four Studies from Cheung (2013)
wvs94b Forty-four Covariance Matrices on Life Satisfaction, Job Satisfaction, and Job Autonomy