getnetwork: getnetwork

In networktree: Recursive Partitioning of Network Models

Description

Easily extract a network from one of the nodes in a networktree object

Usage

getnetwork(tree, id = 1L, transform = "detect", verbose = FALSE, ...)

Arguments

tree	a networktree object
id	the node in the tree to extract. Use summary(tree) to see id numbers for each split
transform	should stored correlation matrices be transformed to partial correlations or graphical lasso? Can be set to "cor", "pcor", or "glasso". Defaults to automatic detection
verbose	should warnings and messages from transformation functions (qgraph) be printed?
...	arguments passed to qgraph (e.g., "tuning", "threshold")

Examples

set.seed(1)
d <- data.frame(trend = 1:200, foo = runif(200, -1, 1))
d <- cbind(d, rbind(
  mvtnorm::rmvnorm(100, mean = c(0, 0, 0),
          sigma = matrix(c(1, 0.5, 0.5, 0.5, 1, 0.5, 0.5, 0.5, 1), ncol = 3)),
  mvtnorm::rmvnorm(100, mean = c(0, 0, 0),
          sigma = matrix(c(1, 0, 0.5, 0, 1, 0.5, 0.5, 0.5, 1), ncol = 3))
))
colnames(d)[3:5] <- paste0("y", 1:3)

## Now use the function
tree1 <- networktree(nodevars=d[,3:5], splitvars=d[,1:2])

getnetwork(tree1, id=1)

networktree documentation built on Feb. 4, 2021, 5:06 p.m.