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Builds a network-psychometric diagram: observed continuous variables joined by symmetric covariance edges representing the partial-association structure of a Gaussian graphical model.

Usage

umg_network(
  vars = paste0("x", 1:5),
  edges_mat = NULL,
  plate_index = "i = 1, ..., N"
)

Arguments

vars

Character vector of observed variable names.

edges_mat

Optional logical or numeric adjacency matrix selecting which pairs are connected; a pair is joined when either the upper- or the lower-triangular entry is nonzero, so upper-, lower-, and fully symmetric encodings are all accepted. Defaults to a fully connected graph.

plate_index

Index label for the person plate.

Value

An object of class umg.

Examples

plot(umg_network(paste0("x", 1:4)))