Aloe14                  Multivariate effect sizes between classroom
                        management self-efficacy (CMSE) and other
                        variables reported by Aloe et al. (2014)
BCG                     Dataset on the Effectiveness of the BCG Vaccine
                        for Preventing Tuberculosis
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)
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)
Cooke16                 Correlation Matrices from Cooke et al. (2016)
Cooper03                Selected effect sizes from Cooper et al. (2003)
Diag                    Matrix Diagonals
Digman97                Factor Correlation Matrices of Big Five Model
                        from Digman (1997)
HedgesOlkin85           Effects of Open Education Reported by Hedges
                        and Olkin (1985)
Hox02                   Simulated Effect Sizes Reported by Hox (2002)
Hunter83                Fourteen Studies of Correlation Matrices
                        reported by Hunter (1983)
Jaramillo05             Dataset from Jaramillo, Mulki & Marshall (2005)
Mak09                   Eight studies from Mak et al. (2009)
Nohe15A1                Correlation Matrices from Nohe et al. (2015)
Norton13                Studies on the Hospital Anxiety and Depression
                        Scale Reported by Norton et al. (2013)
Roorda11                Studies on Students' School Engagement and
                        Achievement Reported by Roorda et al. (2011)
VarCorr                 Extract Variance Covariance Matrix of the
                        Random Effects
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
bdiagMat                Create a Block Diagonal Matrix
bdiagRep                Create a Block Diagonal Matrix by Repeating the
                        Input
coef.tssem1FEM          Extract Parameter Estimates from tssem1FEM,
                        tssem1FEM.cluster, tssem1REM, wls, wls.cluster,
                        meta, meta3X, reml and MxRAMModel Objects
create.Fmatrix          Create an F matrix to select observed variables
create.mxMatrix         Create a Vector into MxMatrix-class
homoStat                Test the Homogeneity of Effect Sizes
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)
lavaan2RAM              Convert 'lavaan' models to RAM models
list2matrix             Convert a List of Symmetric Matrices into a
                        Stacked Matrix
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
metaSEM-package         Meta-Analysis using Structural Equation
                        Modeling
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.tssem1FEM         Print Methods for various Objects
readFullMat             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()
summary.tssem1FEM       Summary Method for tssem1, wls, meta and meta3X
                        Objects
tssem1                  First Stage of the Two-Stage Structural
                        Equation Modeling (TSSEM)
uniR1                   First Stage analysis of the univariate R (uniR)
                        approach
uniR2mx                 Second Stage analysis of the univariate R
                        (uniR) approach
vcov.tssem1FEM          Extract Covariance Matrix Parameter Estimates
                        from Various Objects
vec2symMat              Convert a Vector into a Symmetric Matrix
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
