bdiagRep
(Package: metaSEM) :
Create a Block Diagonal Matrix by Repeating the Input
It creates a block diagonal matrix by repeating the input matrix several times.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: bdiagRep
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tssem1
(Package: metaSEM) :
First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
It conducts the first stage analysis of TSSEM by pooling correlation/covariance matrices. tssem1FEM() and tssem1REM() use fixed- and random-effects models, respectively. tssem1() is a wrapper of these functions.
● Data Source:
CranContrib
● Keywords: tssem
● Alias: tssem1, tssem1FEM, tssem1REM
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pattern.n
(Package: metaSEM) :
Display the Accumulative Sample Sizes for the Covariance Matrix
It displays the accumulative sample sizes for the covariance matrix.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: pattern.n
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wls
(Package: metaSEM) :
Conduct a Correlation/Covariance Structure Analysis with WLS
It fits a correlation or covariance structure with weighted least squares (WLS) estimation method where the inverse of the asymptotic covariance matrix is used as the weight matrix. tssem2 conducts the second stage analysis of the two-stage strutural equation modeling (TSSEM). tssem2 is a wrapper of wls.
● Data Source:
CranContrib
● Keywords: tssem
● Alias: tssem2, wls
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reml3
(Package: metaSEM) :
Estimate Variance Components in Three-Level Univariate
It estimates the variance components of random-effects in three-level univariate meta-analysis with restricted (residual) maximum likelihood (REML) estimation method.
● Data Source:
CranContrib
● Keywords: meta-analysis
● Alias: reml3
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vcov
(Package: metaSEM) :
Extract Covariance Matrix Parameter Estimates from Various Objects
It extracts the variance-covariance matrix of the parameter estimates from either tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml or MxRAMModel objects.
● Data Source:
CranContrib
● Keywords: methods
● Alias: vcov.MxRAMModel, vcov.meta, vcov.meta3X, vcov.reml, vcov.tssem1FEM, vcov.tssem1FEM.cluster, vcov.tssem1REM, vcov.wls, vcov.wls.cluster
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is.pd
(Package: metaSEM) :
Test Positive Definiteness of a List of Square Matrices
It tests the positive definiteness of a square matrix or a list of square matrices. It returns TRUE if the matrix is positive definite. It returns FALSE if the matrix is either non-positive definite or not symmetric. Variables with NA in the diagonals will be removed before testing. It returns NA when there are missing correlations even after deleting the missing variables.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: is.pd
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as.mxMatrix
(Package: metaSEM) :
Convert a Matrix into MxMatrix-class
It converts a matrix into MxMatrix-class via mxMatrix.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: as.mxMatrix
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metaSEM-package
(Package: metaSEM) :
Meta-Analysis using Structural Equation Modeling
A collection of functions for conducting meta-analysis using a structural equation modeling (SEM) approach via the 'OpenMx' package. It also implements the two-stage SEM approach to conduct meta-analytic structural equation modeling on correlation and covariance matrices.
● Data Source:
CranContrib
● Keywords: package
● Alias: metaSEM, metaSEM-package
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pattern.na
(Package: metaSEM) :
Display the Pattern of Missing Data of a List of Square Matrices
It displays the pattern of missing data (or pattern of data that are present) of a list of square matrices with the same dimensions.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: pattern.na
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