Package: modnets 0.9.0.9000

modnets: Modeling Moderated Networks

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>.

Authors:Trevor Swanson [aut, cre]

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modnets.pdf |modnets.html✨
modnets/json (API)
NEWS

# Install 'modnets' in R:

install.packages('modnets', repos = c('https://tswanson222.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tswanson222/modnets/issues

Datasets:

bfiDat - Bfi data
ggmDat - Simulated GGM data
gvarDat - Simulated temporal network data
mlgvarDat - Simulated multi-level network data

On CRAN:

2.70 score 6 scripts 177 downloads 43 exports 123 dependencies

Last updated 3 years agofrom:b118381885. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 01 2024
R-4.5-win	OK	Nov 01 2024
R-4.5-linux	OK	Nov 01 2024
R-4.4-win	OK	Nov 01 2024
R-4.4-mac	OK	Nov 01 2024
R-4.3-win	OK	Nov 01 2024
R-4.3-mac	OK	Nov 01 2024

Exports:bootNet centAuto centPlot centTable clustAuto clustPlot clustTable compareVAR condPlot cscoef fitNetwork getFitCIs intsPlot lmerVAR mlGVAR mlGVARsim mnetPowerSim modLL modSelect modTable net netInts ordinalize plotBoot plotCentrality plotCoefs plotMods plotNet plotNet2 plotNet3 plotPower plotPvals plotStability predictNet resample sampleSize selected simNet SURfit SURll SURnet SURtable varSelect

Dependencies:abind backports base64enc boot broom bslib cachem car carData checkmate cli cluster codetools colorspace corpcor cowplot cpp11 data.table Deriv digest doBy dplyr evaluate fansi farver fastmap fdrtool fontawesome foreach foreign Formula fs generics ggplot2 glasso glinternet glmnet glue GPArotation gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets igraph interactionTest isoband iterators jpeg jquerylib jsonlite knitr labeling lattice lavaan leaps lifecycle lme4 lmerTest lmtest magrittr MASS Matrix MatrixModels memoise mgcv microbenchmark mime minqa mnormt modelr munsell mvtnorm nlme nloptr nnet numDeriv pbapply pbivnorm pbkrtest pillar pkgconfig plyr png psych purrr qgraph quadprog quantreg R6 rappdirs RColorBrewer Rcpp RcppEigen reshape2 rlang rmarkdown rpart rstudioapi sandwich sass scales shape SparseM stringi stringr survival systemfit tibble tidyr tidyselect tinytex utf8 vctrs viridis viridisLite withr xfun yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

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