metaSEM-package |
Meta-Analysis using Structural Equation Modeling |
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 |
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) |
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) |
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 |
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 |
Diag |
Matrix Diagonals |
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) |
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) |
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) |
Jaramillo05 |
Dataset from Jaramillo, Mulki & Marshall (2005) |
list2matrix |
Convert a List of Symmetric Matrices into a Stacked Matrix |
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 |
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.meta |
Print Methods for 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' Objects |
print.meta3X |
Print Methods for 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' Objects |
print.reml |
Print Methods for 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' 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 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' Objects |
print.tssem1FEM.cluster |
Print Methods for 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' Objects |
print.tssem1REM |
Print Methods for 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' Objects |
print.wls |
Print Methods for 'tssem1FEM', 'tssem1FEM.cluster', 'tssem1REM', 'wls', 'meta', 'meta3X' and 'reml' Objects |
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 mxRun() |
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 |
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 |
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 |
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 |