View source: R/a_models_meta_varcov.R

meta_varcov | R Documentation |

Meta analysis of correlation matrices to fit a homogenous correlation matrix or Gaussian graphical model. Based on meta-analytic SEM (Jak and Cheung, 2019).

```
meta_varcov(cors, nobs, Vmats, Vmethod = c("individual", "pooled",
"metaSEM_individual", "metaSEM_weighted"), Vestimation
= c("averaged", "per_study"), type = c("cor", "ggm"),
sigma_y = "full", kappa_y = "full", omega_y = "full",
lowertri_y = "full", delta_y = "full", rho_y = "full",
SD_y = "full", randomEffects = c("chol", "cov",
"prec", "ggm", "cor"), sigma_randomEffects = "full",
kappa_randomEffects = "full", omega_randomEffects =
"full", lowertri_randomEffects = "full",
delta_randomEffects = "full", rho_randomEffects =
"full", SD_randomEffects = "full", vars,
baseline_saturated = TRUE, optimizer, estimator =
c("FIML", "ML"), sampleStats, verbose = FALSE,
bootstrap = FALSE, boot_sub, boot_resample)
meta_ggm(...)
```

`cors` |
A list of correlation matrices. Must contain rows and columns with |

`nobs` |
A vector with the number of observations per study. |

`Vmats` |
Optional list with 'V' matrices (sampling error variance approximations). |

`Vmethod` |
Which method should be used to apprixomate the sampling error variance? |

`Vestimation` |
How should the sampling error estimates be evaluated? |

`type` |
What to model? Currently only |

`sigma_y` |
Only used when |

`kappa_y` |
Only used when |

`omega_y` |
Only used when |

`lowertri_y` |
Only used when |

`delta_y` |
Only used when |

`rho_y` |
Only used when |

`SD_y` |
Only used when |

`randomEffects` |
What to model for the random effects? |

`sigma_randomEffects` |
Only used when |

`kappa_randomEffects` |
Only used when |

`omega_randomEffects` |
Only used when |

`lowertri_randomEffects` |
Only used when |

`delta_randomEffects` |
Only used when |

`rho_randomEffects` |
Only used when |

`SD_randomEffects` |
Only used when |

`vars` |
Variables to be included. |

`baseline_saturated` |
A logical indicating if the baseline and saturated model should be included. Mostly used internally and NOT Recommended to be used manually. |

`optimizer` |
The optimizer to be used. Can be one of |

`estimator` |
The estimator to be used. Currently implemented are |

`sampleStats` |
An optional sample statistics object. Mostly used internally. |

`verbose` |
Logical, should progress be printed to the console? |

`bootstrap` |
Should the data be bootstrapped? If |

`boot_sub` |
Proportion of cases to be subsampled ( |

`boot_resample` |
Logical, should the bootstrap be with replacement ( |

`...` |
Arguments sent to |

An object of the class psychonetrics (psychonetrics-class)

Sacha Epskamp <mail@sachaepskamp.com>

Jak, S., and Cheung, M. W. L. (2019). Meta-analytic structural equation modeling with moderating effects on SEM parameters. Psychological methods.

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