metaSEM v1.2.4
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Meta-Analysis using Structural Equation Modeling
A collection of functions for conducting meta-analysis using a
structural equation modeling (SEM) approach via the 'OpenMx' and
'lavaan' packages. It also implements various procedures to
perform meta-analytic structural equation modeling on the
correlation and covariance matrices.
Readme
The metaSEM package conducts univariate and multivariate meta-analyses 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/covariance matrices.
The stable version can be installed from CRAN by:
install.packages("metaSEM")
The developmental version can be installed from GitHub by:
## Install devtools package if it has not been installed yet
# install.packages("devtools")
devtools::install_github("mikewlcheung/metasem")
Functions in metaSEM
| Name | Description | |
| Boer16 | Correlation Matrices from Boer et al. (2016) | |
| Cheung00 | Fifty Studies of Correlation Matrices used in Cheung and Chan (2000) | |
| Becker92 | Six Studies of Correlation Matrices reported by Becker (1992; 1995) | |
| Becker09 | Ten Studies of Correlation Matrices used by Becker (2009) | |
| Bornmann07 | A Dataset from Bornmann et al. (2007) | |
| Aloe14 | Multivariate effect sizes between classroom management self-efficacy (CMSE) and other variables reported by Aloe et al. (2014) | |
| Berkey98 | Five Published Trails from Berkey et al. (1998) | |
| Becker94 | Five Studies of Ten Correlation Matrices reported by Becker and Schram (1994) | |
| BCG | Dataset on the Effectiveness of the BCG Vaccine for Preventing Tuberculosis | |
| Becker83 | Studies on Sex Differences in Conformity Reported by Becker (1983) | |
| Cooper03 | Selected effect sizes from Cooper et al. (2003) | |
| Tenenbaum02 | Correlation coefficients reported by Tenenbaum and Leaper (2002) | |
| Hunter83 | Fourteen Studies of Correlation Matrices reported by Hunter (1983) | |
| VarCorr | Extract Variance-Covariance Matrix of the Random Effects | |
| Jaramillo05 | Dataset from Jaramillo, Mulki & Marshall (2005) | |
| Hox02 | Simulated Effect Sizes Reported by Hox (2002) | |
| HedgesOlkin85 | Effects of Open Education Reported by Hedges and Olkin (1985) | |
| Mak09 | Eight studies from Mak et al. (2009) | |
| Cooke16 | Correlation Matrices from Cooke et al. (2016) | |
| Cheung09 | A Dataset from TSSEM User's Guide Version 1.11 by Cheung (2009) | |
| Gleser94 | Two Datasets from Gleser and Olkin (1994) | |
| Kalaian96 | Multivariate effect sizes reported by Kalaian and Raudenbush (1996) | |
| checkRAM | Check the correctness of the RAM formulation | |
| is.pd | Test Positive Definiteness of a List of Square Matrices | |
| summary | Summary Method for tssem1, wls, meta, and meta3X Objects | |
| bootuniR2 | Fit Models on the bootstrapped correlation matrices | |
| issp05 | A Dataset from ISSP (2005) | |
| Nam03 | Dataset on the Environmental Tobacco Smoke (ETS) on children's health | |
| Cor2DataFrame | Convert correlation or covariance matrices into a dataframe of correlations or covariances with their sampling covariance matrices | |
| Gnambs18 | Correlation Matrices from Gnambs, Scharl, and Schroeders (2018) | |
| as.mxMatrix | Convert a Matrix into MxMatrix-class | |
| Diag | Matrix Diagonals | |
| Roorda11 | Studies on Students' School Engagement and Achievement Reported by Roorda et al. (2011) | |
| Nohe15 | Correlation Matrices from Nohe et al. (2015) | |
| Norton13 | Studies on the Hospital Anxiety and Depression Scale Reported by Norton et al. (2013) | |
| as.symMatrix | Convert a Character Matrix with Starting Values to a Character Matrix without Starting Values | |
| anova | Compare Nested Models with Likelihood Ratio Statistic | |
| list2matrix | Convert a List of Symmetric Matrices into a Stacked Matrix | |
| matrix2bdiag | Convert a Matrix into a Block Diagonal Matrix | |
| asyCov | Compute Asymptotic Covariance Matrix of a Correlation/Covariance Matrix | |
| tssem1 | First Stage of the Two-Stage Structural Equation Modeling (TSSEM) | |
| coef | Extract Parameter Estimates from various classes. | |
| create.Fmatrix | Create an F matrix to select observed variables | |
| pattern.na | Display the Pattern of Missing Data of a List of Square Matrices | |
| wvs94a | Forty-four Studies from Cheung (2013) | |
| as.mxAlgebra | Convert a Character Matrix into MxAlgebra-class | |
| wls | Conduct a Correlation/Covariance Structure Analysis with WLS | |
| bdiagMat | Create a Block Diagonal Matrix | |
| create.mxMatrix | Create a Vector into MxMatrix-class | |
| create.vechsR | Create a model implied correlation matrix with implicit diagonal constraints | |
| impliedR | Create or Generate the Model Implied Correlation or Covariance Matrices | |
| plot | Plot methods for various objects | |
| indirectEffect | Estimate the asymptotic covariance matrix of standardized or unstandardized indirect and direct effects | |
| issp89 | A Dataset from Cheung and Chan (2005; 2009) | |
| smdMTS | Compute Effect Sizes for Multiple Treatment Studies | |
| meta3 | Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation | |
| Digman97 | Factor Correlation Matrices of Big Five Model from Digman (1997) | |
| smdMES | Compute Effect Sizes for Multiple End-point Studies | |
| readData | Read External Correlation/Covariance Matrices | |
| create.mxModel | Create an mxModel | |
| reml | Estimate Variance Components with Restricted (Residual) Maximum Likelihood Estimation | |
| metaSEM-package | Meta-Analysis using Structural Equation Modeling | |
| homoStat | Test the Homogeneity of Effect Sizes | |
| wvs94b | Forty-four Covariance Matrices on Life Satisfaction, Job Satisfaction, and Job Autonomy | |
| lavaan2RAM | Convert lavaan models to RAM models | |
| Stadler15 | Correlations from Stadler et al. (2015) | |
| create.Tau2 | Create a variance component of the heterogeneity of the random effects | |
| Scalco17 | Correlation Matrices from Scalco et al. (2017) | |
| bdiagRep | Create a Block Diagonal Matrix by Repeating the Input | |
| pattern.n | Display the Accumulative Sample Sizes for the Covariance Matrix | |
| osmasemSRMR | Calculate the SRMR in OSMASEM | |
| meta | Univariate and Multivariate Meta-Analysis with Maximum Likelihood Estimation | |
| bootuniR1 | Parametric bootstrap on the univariate R (uniR) object | |
| create.V | Create a V-known matrix | |
| reml3 | Estimate Variance Components in Three-Level Univariate Meta-Analysis with Restricted (Residual) Maximum Likelihood Estimation | |
| osmasem | One-stage meta-analytic structural equation modeling | |
| meta2semPlot | Convert metaSEM objects into semPlotModel objects for plotting | |
| Print Methods for various Objects | ||
| rerun | Rerun models via mxTryHard() | |
| uniR2 | Second Stage analysis of the univariate R (uniR) approach | |
| rCor | Generate Sample/Population Correlation/Covariance Matrices | |
| osmasemR2 | Calculate the R2 in OSMASEM | |
| uniR1 | First Stage analysis of the univariate R (uniR) approach | |
| vec2symMat | Convert a Vector into a Symmetric Matrix | |
| vcov | Extract Covariance Matrix Parameter Estimates from Objects of Various Classes | |
| tssemParaVar | Estimate the heterogeneity (SD) of the parameter estimates of the TSSEM object | |
| vanderPol17 | Dataset on the effectiveness of multidimensional family therapy in treating adolescents with multiple behavior problems | |
| No Results! | ||
Vignettes of metaSEM
| Name | ||
| Examples.html.asis | ||
| metaSEM.pdf.asis | ||
| No Results! | ||
Last month downloads
Details
| Type | Package |
| Date | 2020-06-14 |
| VignetteBuilder | R.rsp |
| License | GPL (>= 2) |
| LazyLoad | yes |
| LazyData | yes |
| ByteCompile | yes |
| URL | https://github.com/mikewlcheung/metasem |
| NeedsCompilation | no |
| Packaged | 2020-06-14 01:10:13 UTC; mikewlcheung |
| Repository | CRAN |
| Date/Publication | 2020-06-14 05:20:06 UTC |
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