# metaSEM v1.2.4

Monthly downloads

## 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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