metaSEM1.5.0 package

Compare Nested Models with Likelihood Ratio Statistic

Convert a Character Matrix into MxAlgebra-class

Convert a Matrix into MxMatrix-class

Convert a Character Matrix with Starting Values to a Character Matrix ...

Compute Asymptotic Covariance Matrix of a Correlation/Covariance Matri...

Create a Block Diagonal Matrix

Create a Block Diagonal Matrix by Repeating the Input

Parametric bootstrap on the univariate R (uniR) object

Fit Models on the bootstrapped correlation matrices

Calculate Effect Sizes using lavaan Models

Check the correctness of the RAM formulation

Extract Parameter Estimates from various classes.

Convert correlation or covariance matrices into a dataframe of correla...

Create an F matrix to select observed variables

Create a moderator matrix used in OSMASEM

Create a Vector into MxMatrix-class

Create a variance component of the heterogeneity of the random effects

Create a V-known matrix

Create a model implied correlation matrix with implicit diagonal const...

Matrix Diagonals

Test the Homogeneity of Effect Sizes

Create or Generate the Model Implied Correlation or Covariance Matrice...

Estimate the asymptotic covariance matrix of standardized or unstandar...

Test Positive Definiteness of a List of Square Matrices

Convert lavaan models to RAM models

Convert a List of Symmetric Matrices into a Stacked Matrix

Convert a Matrix into a Block Diagonal Matrix

Univariate and Multivariate Meta-Analysis with Maximum Likelihood Esti...

Convert metaSEM objects into semPlotModel objects for plotting

Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimatio...

Meta-Analysis using Structural Equation Modeling

Correlation Matrices from Nohe et al. (2015)

One-stage meta-analytic structural equation modeling

Calculate the R2 in OSMASEM and OSMASEM3L

Calculate the SRMR in OSMASEM and OSMASEM3L

Display the Accumulative Sample Sizes for the Covariance Matrix

Display the Pattern of Missing Data of a List of Square Matrices

Plot methods for various objects

Print Methods for various Objects

Generate (Nested) Sample/Population Correlation/Covariance Matrices

Read External Correlation/Covariance Matrices

Estimate Variance Components with Restricted (Residual) Maximum Likeli...

Estimate Variance Components in Three-Level Univariate Meta-Analysis w...

Rerun models via mxTryHard()

Fit a structural equation model using OpenMx

Compute Effect Sizes for Multiple End-point Studies

Compute Effect Sizes for Multiple Treatment Studies

Summary Method for tssem1, wls, meta, and meta3LFIML Objects

First Stage of the Two-Stage Structural Equation Modeling (TSSEM)

Estimate the heterogeneity (SD) of the parameter estimates of the TSSE...

First Stage analysis of the univariate R (uniR) approach

Second Stage analysis of the univariate R (uniR) approach

Extract Variance-Covariance Matrix of the Random Effects

Extract Covariance Matrix Parameter Estimates from Objects of Various ...

Convert a Vector into a Symmetric Matrix

Conduct a Correlation/Covariance Structure Analysis with WLS