plot.mlVAR: Plot Method for mlVAR

In SachaEpskamp/mlVAR: Multi-Level Vector Autoregression

Plot Method for mlVAR

Description

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.

Usage

  ## 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, ...)

Arguments

x	An mlVAR object.
type	What network to plot?
lag	The lag to use when type = "temporal"
partial	Logical, should partial correlation matrices be plotted instead of correlation methods? Only used if type is "contemporaneous" or "between". Defaults to TRUE.
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). "or" selects an edge as being significant if one node predicting the other is significant, and "and" requires both predictions to be significant.
alpha	Alpha level to test for significance
onlySig	Deprecated argument only used for backward competability.
layout	The layout argument used by qgraph
verbose	Logical, should message be printed to the console?
...	Arguments sent to qgraph

Author(s)

Sacha Epskamp ([e-mail])

SachaEpskamp/mlVAR documentation built on Feb. 1, 2024, 10:38 a.m.