plot.mlVAR | R Documentation |

The function `plot.mlVAR`

plots estimated model coefficients as networks using `qgraph`

. These can be three networks: temporal, contemporaneous and between-subjects effects, of which the latter two can be plotted as a correlation or a partial correlation network.

```
## S3 method for class 'mlVAR'
plot(x, type = c("temporal", "contemporaneous", "between"),
lag = 1, partial = TRUE, SD = FALSE, subject, order,
nonsig = c("default", "show", "hide", "dashed"), rule
= c("or", "and"), alpha = 0.05, onlySig = FALSE,
layout = "spring", verbose = TRUE, ...)
## S3 method for class 'mlVARsim'
plot(x, ...)
```

`x` |
An |

`type` |
What network to plot? |

`lag` |
The lag to use when |

`partial` |
Logical, should partial correlation matrices be plotted instead of correlation methods? Only used if |

`SD` |
Logical. Plot the standard-deviation of random effects instead of the fixed effect estimate? |

`subject` |
Subject number. If not missing, will plot the network of a specific subject instead. |

`order` |
An optional character vector used to set the order of nodes in the network. |

`nonsig` |
How to handle non-significant edges? Default will hide non-significant edges when p-values are available (fixed effects, partial correlations and temporal effects). |

`rule` |
How to choose significance in node-wise estimated GGMs (contemporaneous and between-subjects). |

`alpha` |
Alpha level to test for significance |

`onlySig` |
Deprecated argument only used for backward competability. |

`layout` |
The layout argument used by |

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

`...` |
Arguments sent to |

Sacha Epskamp (mail@sachaepskamp.com)

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