netvif: Calculate vif for network regression.

In huhn1234/vogeltools: Utilities for the social network analysis

Description

netvif vectorizes the object for the QAP regression and passes to the function vif in the package car to calculate the vif.

Usage

netvif(y, x, mode = "digraph", diag = FALSE, fun = "netlm")

Arguments

y	dependent network variable.
x	stack of independent network variables (array or list object).
mode	string indicating the type of graph being evaluated. "digraph"(default: directed graph) or "graph"(undirected graph) .
diag	logical. Whether the diagonal value is considered or not (default).
fun	intiger indicating the regression model: "netlm"(default) or "netlogit".

Details

This is a utility function for selecting the independent variables when conducting QAP regression.

Value

a vector indicating vifs.

See Also

vif, netlm, netlogit.

Examples

# Create some input graphs
x <- sna::rgraph(20,4)

# Create a response structure
y <- x[1,,]+4*x[2,,]+2*x[3,,]   #Note that the fourth graph is unrelated

# calculate the vifs when using these items
netvif(y, x, fun = "netlm")

huhn1234/vogeltools documentation built on Jan. 17, 2020, 5:21 p.m.