mlgvarDat

Data generated from <code><a rd-options="" href="/link/mlGVARsim?package=modnets&version=0.9.0" data-mini-rdoc="modnets::mlGVARsim">mlGVARsim</a></code>, with five variables that serve
as nodes in the multi-level GVAR model, one moderator variable, and an ID
variable that distinguishes between subjects.

datasets

Methods for modeling moderator variables in cross-sectional, temporal, and multi-level networks. Includes model selection techniques and a variety of plotting functions. Implements the methods described by Swanson (2020) <https://www.proquest.com/openview/d151ab6b93ad47e3f0d5e59d7b6fd3d3>.

Trevor Swanson

modnets

Modeling Moderated Networks

mlgvarDat function

A <code>50000 x 7</code> data frame with five variables to serve as nodes in
the networks, one variable <code>"M"</code> to serve as the time-lagged
moderator, and an <code>ID</code> variable that labels responses from each of
<code>100</code> simulated individuals. For each ID number, there are 500
time-ordered responses.

Format

Data generated from <code><a rd-options='' href='mlGVARsim'>mlGVARsim</a></code>, with five variables that serve
as nodes in the multi-level GVAR model, one moderator variable, and an ID
variable that distinguishes between subjects.

mlgvarDat: Simulated multi-level network data

Description

Usage

Arguments

Format