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)
Chan17                  Dataset from Chan, Jones, Jamieson, and
                        Albarracin (2017)
Cheung00                Fifty Studies of Correlation Matrices used in
                        Cheung and Chan (2000)
Cheung09                A Dataset 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)
Cor2DataFrame           Convert correlation or covariance matrices into
                        a dataframe of correlations or covariances with
                        their sampling covariance matrices
Diag                    Matrix Diagonals
Digman97                Factor Correlation Matrices of Big Five Model
                        from Digman (1997)
Gleser94                Two Datasets from Gleser and Olkin (1994)
Gnambs18                Correlation Matrices from Gnambs, Scharl, and
                        Schroeders (2018)
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 and Marshall
                        (2005)
Kalaian96               Multivariate effect sizes reported by Kalaian
                        and Raudenbush (1996)
Mak09                   Eight studies from Mak et al. (2009)
Mathieu15               Correlation Matrices from Mathieu et al. (2015)
Nam03                   Dataset on the Environmental Tobacco Smoke
                        (ETS) on children's health
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)
Scalco17                Correlation Matrices from Scalco et al. (2017)
Stadler15               Correlations from Stadler et al. (2015)
Tenenbaum02             Correlation coefficients reported by Tenenbaum
                        and Leaper (2002)
VarCorr                 Extract Variance-Covariance Matrix of the
                        Random Effects
anova.wls               Compare Nested Models with Likelihood Ratio
                        Statistic
as.mxAlgebra            Convert a Character Matrix into MxAlgebra-class
as.mxMatrix             Convert a Matrix into MxMatrix-class
as.symMatrix            Convert a Character Matrix with Starting Values
                        to a Character Matrix without Starting Values
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
bootuniR1               Parametric bootstrap on the univariate R (uniR)
                        object
bootuniR2               Fit Models on the bootstrapped correlation
                        matrices
calEffSizes             Calculate Effect Sizes using lavaan Models
checkRAM                Check the correctness of the RAM formulation
coef.tssem1FEM          Extract Parameter Estimates from various
                        classes.
create.Fmatrix          Create an F matrix to select observed variables
create.Tau2             Create a variance component of the
                        heterogeneity of the random effects
create.V                Create a V-known matrix
create.modMatrix        Create a moderator matrix used in OSMASEM
create.mxMatrix         Create a Vector into MxMatrix-class
create.vechsR           Create a model implied correlation matrix with
                        implicit diagonal constraints
homoStat                Test the Homogeneity of Effect Sizes
impliedR                Create or Generate the Model Implied
                        Correlation or Covariance Matrices
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                  A Dataset from ISSP (2005)
issp89                  A Dataset 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
meta3L                  Three-Level Univariate Meta-Analysis with
                        Maximum Likelihood Estimation
metaSEM-package         Meta-Analysis using Structural Equation
                        Modeling
osmasem                 One-stage meta-analytic structural equation
                        modeling
osmasemR2               Calculate the R2 in OSMASEM and OSMASEM3L
osmasemSRMR             Calculate the SRMR in OSMASEM and OSMASEM3L
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 methods for various objects
print.tssem1FEM         Print Methods for various Objects
rCor                    Generate (Nested) Sample/Population
                        Correlation/Covariance Matrices
readFullMat             Read External Correlation/Covariance Matrices
reml                    Estimate Variance Components with Restricted
                        (Residual) Maximum Likelihood Estimation
reml3L                  Estimate Variance Components in Three-Level
                        Univariate Meta-Analysis with Restricted
                        (Residual) Maximum Likelihood Estimation
rerun                   Rerun models via mxTryHard()
sem                     Fit a structural equation model using OpenMx
smdMES                  Compute Effect Sizes for Multiple End-point
                        Studies
smdMTS                  Compute Effect Sizes for Multiple Treatment
                        Studies
summary.tssem1FEM       Summary Method for tssem1, wls, meta, and
                        meta3LFIML Objects
tssem1                  First Stage of the Two-Stage Structural
                        Equation Modeling (TSSEM)
tssemParaVar            Estimate the heterogeneity (SD) of the
                        parameter estimates of the TSSEM object
uniR1                   First Stage analysis of the univariate R (uniR)
                        approach
uniR2mx                 Second Stage analysis of the univariate R
                        (uniR) approach
vanderPol17             Dataset on the effectiveness of
                        multidimensional family therapy in treating
                        adolescents with multiple behavior problems
vcov.tssem1FEM          Extract Covariance Matrix Parameter Estimates
                        from Objects of Various Classes
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
