VARglm: Computes a vector autoregressive lag-1 model using GLM

In qgraph: Graph Plotting Methods, Psychometric Data Visualization and Graphical Model Estimation

Computes a vector autoregressive lag-1 model using GLM

Description

This function computes a VAR model using glm.

Usage

VARglm(x, family, vars, adjacency, icfun = BIC, ...)

Arguments

x	A data frame
family	The family to be used. Defaults to gaussian if data is continuous or binomial if data is binary
vars	Vector of variables to predict. If missing all variables are predicted.
adjacency	Adjacency matrix. If missing full network is estimated
icfun	Information criterium function to be included in the output
...	Arguments used in the icfun

Value

A list containing:

graph	The estimated graph
IC	The information criterium

Author(s)

Sacha Epskamp <[e-mail]

qgraph documentation built on Nov. 3, 2023, 5:07 p.m.