modnets: modnets: Modeling Moderated Networks

In modnets: Modeling Moderated Networks

Description

Methods for modeling and plotting various types of moderated networks, including tools for model selection. Model selection tools can be employed for any type of moderated network, and include methods based on the LASSO as well as resampling techniques such as bootstrapping, multi-sample splitting, and stability selection. The primary model types include:

• Cross-section moderated networks

• Temporal (idiographic) moderated networks

• Multi-level moderated networks

Core Package Functions

Model fitting:	fitNetwork, mlGVAR, lmerVAR
Variable selection:	varSelect, resample, modSelect
Model comparison:	modLL, modTable, SURll, SURtable
Simulating network data:	simNet, mlGVARsim, mnetPowerSim
Centrality and clustering:	centTable, clustTable
Adjacency matrices:	net, netInts
Bootstrapping and stability:	bootNet

Plotting functions are available for all model objects and can be accessed through the plot() S3 generic.

Details

Package:	modnets
Title:	Modeling Moderated Networks
Version:	0.9.0
Author:	Trevor Swanson
Maintainer:	[e-mail]
URL:	https://github.com/tswanson222/modnets
BugReports:	https://github.com/tswanson222/modnets/issues
License:	GPL-3
Imports:	abind, corpcor, ggplot2, glinternet, glmnet, gridExtra, gtools, igraph, interactionTest, leaps, lme4, lmerTest, Matrix, methods, mvtnorm, parallel, pbapply, plyr, psych, qgraph, reshape2, systemfit
Suggests:	sn, arm, hierNet, psychTools
Date:	2021-09-26

Author(s)

Trevor Swanson

Maintainer: Trevor Swanson [e-mail]

References

Swanson, T. J. (2020). Modeling moderators in psychological networks (Publication No. 28000912) [Doctoral dissertation, University of Kansas]. ProQuest Dissertations Publishing.

modnets documentation built on Oct. 1, 2021, 9:07 a.m.