Modeling Moderated Networks

---

Documentation for package ‘modnets’ version 0.9.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

bfiDat	bfi data
bootNet	Bootstrapping network estimation for moderated networks
bootNetDescriptives	Descriptive statistics for 'bootNet' objects
centAuto	Node centrality, clustering coefficients, and shortest path lengths
CentClust	Node centrality, clustering coefficients, and shortest path lengths
centPlot	Plots for node centrality values or clustering coefficients
CentralityAndClustering	Create table of centrality values or clustering coefficients
CentralityAndClusteringPlots	Plots for node centrality values or clustering coefficients
centTable	Create table of centrality values or clustering coefficients
clustAuto	Node centrality, clustering coefficients, and shortest path lengths
clustPlot	Plots for node centrality values or clustering coefficients
clustTable	Create table of centrality values or clustering coefficients
compareVAR	Compare two to three 'lmerVAR' models
condPlot	Conditional effects plot
cscoef	Descriptive statistics for 'bootNet' objects
fitNetwork	Fit cross-sectional and idiographic moderated network models
getFitCIs	Provides model coefficients with confidence intervals
ggmDat	Simulated GGM data
gvarDat	Simulated temporal network data
intsPlot	Plot confidence intervals for interaction terms
lmerVAR	Mixed-effects modeling for the GVAR in multilevel data
LogLikelihood	Log-likelihood functions and Likelihood Ratio Tests for moderated networks
mlGVAR	Fit GVAR models with multilevel data
mlgvarDat	Simulated multi-level network data
mlGVARsim	Main workhorse for simulating VAR and mlGVAR data
mnetPowerSim	Power simulator for cross-sectional and idiographic networks
modLL	Log-likelihood functions and Likelihood Ratio Tests for moderated networks
modnets	modnets: Modeling Moderated Networks
modSelect	Select a model based on output from 'resample'
modTable	Log-likelihood functions and Likelihood Ratio Tests for moderated networks
net	Get adjacency matrices from fit objects
netInts	Get adjacency matrices from fit objects
ordinalize	Convert continuous variables into ordinal variables
plot.bootNet	Plot 'bootNet' outputs
plot.ggm	Plot moderated and unmoderated network models
plot.ggmSim	Plot moderated and unmoderated network models
plot.GVARsim	Plot moderated and unmoderated network models
plot.lmerVAR	Plot moderated and unmoderated network models
plot.mlGVAR	Plot moderated and unmoderated network models
plot.mlGVARsim	Plot moderated and unmoderated network models
plot.mnetPower	Plot results of power simulations
plot.resample	Plot method for output of resample function
plot.SURnet	Plot moderated and unmoderated network models
plotBoot	Plot 'bootNet' outputs
plotCentrality	Plots for node centrality values or clustering coefficients
plotCoefs	Plot model coefficients with confidence intervals
plotMods	Plot conditional networks at different levels of the moderator
plotNet	Plot moderated and unmoderated network models
plotNet2	Plot temporal and contemporaneous networks in the same window
plotNet3	Plot temporal, contemporaneous, and between-subject networks
plotPower	Plot results of power simulations
plotPvals	Plot the ECDF of p-values from resampling
plotStability	Plot stability selection paths for a given outcome
predictNet	Calculate prediction error from network models
resample	Bootstrapping or multi-sample splits for variable selection
sampleSize	Reports the minimum sample size required to fit a network model
selected	Shows which variables were selected for each node of a network
simNet	Simulate network structure and data
summary.bootNet	Descriptive statistics for 'bootNet' objects
summary.mnetPower	Descriptive statistics for power simulation results
SURfit	Fit SUR models with or without constraints
SURll	Log-likelihood functions and Likelihood Ratio Tests for moderated networks
SURnet	Creates temporal and contemporaneous network of SUR results
SURtable	Log-likelihood functions and Likelihood Ratio Tests for moderated networks
varSelect	Variable selection for moderated networks