Create a Block Diagonal Matrix by Repeating the Input
Effects of Open Education Reported by Hedges and Olkin (1985)
Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
Fourteen Studies of Correlation Matrices reported by Hunter (1983)
Data Set from Cheung and Chan (2005; 2009)
Dataset on the Effectiveness of the BCG Vaccine for Preventing Tuberculosis
Create a Vector into MxMatrix-class
Six Studies of Correlation Matrices reported by Becker (1992; 1995)
Compute Asymptotic Covariance Matrix of a Correlation/Covariance Matrix
Create an F matrix to select observed variables
Read External Correlation/Covariance Matrices
Convert a Vector into a Symmetric Matrix
Estimate Variance Components in Three-Level Univariate
Meta-Analysis with Restricted (Residual) Maximum
Likelihood Estimation
Estimate Variance Components with Restricted (Residual) Maximum
Likelihood Estimation
Meta-Analysis using Structural Equation Modeling
Convert metaSEM objects into semPlotModel objects for plotting
Conduct a Correlation/Covariance Structure Analysis with WLS
Forty-four Covariance Matrices on Life Satisfaction, Job Satisfaction, and Job Autonomy
Multivariate effect sizes between classroom management
self-efficacy (CMSE) and other variables reported by Aloe et al. (2014)
Convert a List of Symmetric Matrices into a Stacked Matrix
Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster,
tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
Dataset from Jaramillo, Mulki & Marshall (2005)
Five Published Trails from Berkey et al. (1998)
Factor Correlation Matrices of Big Five Model from Digman (1997)
Univariate and Multivariate Meta-Analysis with Maximum
Likelihood Estimation
Estimate the asymptotic covariance matrix of standardized or unstandardized indirect and direct effects
Convert a Matrix into MxMatrix-class
Print Methods for tssem1FEM, tssem1FEM.cluster,
tssem1REM, wls, meta, meta3X and reml Objects
Eight studies from Mak et al. (2009)
Create a Block Diagonal Matrix
Compare Nested Models with Likelihood Ratio Statistic
Convert a Matrix into a Block Diagonal Matrix
Five Studies of Ten Correlation Matrices reported by Becker and
Schram (1994)
Forty-four Studies from Cheung (2013)
Selected effect sizes from Cooper et al. (2003)
Test the Homogeneity of Effect Sizes
Plot method for meta objects
Rerun models via mxRun()
Studies on Sex Differences in Conformity Reported by Becker (1983)
Display the Accumulative Sample Sizes for the Covariance Matrix
Ten Studies of Correlation Matrices used by Becker (2009)
Test Positive Definiteness of a List of Square Matrices
Fifty Studies of Correlation Matrices used in Cheung and Chan (2000)
Simulated Effect Sizes Reported by Hox (2002)
A Data Set from TSSEM User's Guide Version 1.11 by Cheung (2009)
Matrix Diagonals
A Dataset from Bornmann et al. (2007)
Summary Method for tssem1, wls, meta and meta3X Objects
Data Set from ISSP (2005)
Display the Pattern of Missing Data of a List of Square Matrices
Extract Covariance Matrix Parameter Estimates from Various Objects