psychnets: Tidy Clean-Room Psychological Network Modeling

Provides clean-room implementations for estimating psychometric network models, including correlation and partial-correlation networks, Gaussian graphical models with extended Bayesian information criterion (EBIC) regularization, nonparanormal and stepwise selection variants, information-filtering networks (the triangulated maximally filtered graph and the local-global inverse covariance), relative-importance networks, and Ising and mixed graphical models <doi:10.3758/s13428-017-0862-1> <doi:10.1007/978-3-031-54464-4_19>. All methods are implemented from first principles in base R without compiled dependencies and return consistent, tidy outputs. Functions are designed to be transparent and report optimization diagnostics where applicable. For Gaussian graphical models, the graphical lasso stationarity (Karush-Kuhn-Tucker) residual quantifies the deviation of the estimated solution from the optimum of the corresponding convex optimization problem.

Version:	0.4.3
Depends:	R (≥ 3.5.0)
Imports:	grDevices, graphics, parallel, stats
Suggests:	cocor, cograph, glasso, glmnet, igraph, IsingFit, knitr, mgm, mvtnorm, networktools, psych, qgraph, rmarkdown, testthat (≥ 3.0.0), tna
Published:	2026-07-30
DOI:	10.32614/CRAN.package.psychnets
Author:	Mohammed Saqr [aut, cre, cph], Sonsoles López-Pernas [aut]
Maintainer:	Mohammed Saqr <saqr at saqr.me>
BugReports:	https://github.com/mohsaqr/psychnets/issues
License:	GPL-3
URL:	https://pak.dynasite.org/psychnets, https://github.com/mohsaqr/psychnets
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	psychnets results

Documentation:

Reference manual:

psychnets.html , psychnets.pdf

Vignettes:

Gaussian graphical models: estimation and interpretation (source, R code) Stepwise Gaussian graphical model selection (source, R code) Regulation networks from Dynalytics event data (source, R code) Information-filtering networks with TMFG and LoGo (source, R code) Ising networks for binary data (source, R code) Mixed graphical models (source, R code) Relative-importance networks (source, R code) Visualizing networks with cograph (source, R code)

Downloads:

Package source:	psychnets_0.4.3.tar.gz
Windows binaries:	r-devel: psychnets_0.4.3.zip, r-release: psychnets_0.4.3.zip, r-oldrel: psychnets_0.4.3.zip
macOS binaries:	r-release (arm64): psychnets_0.4.3.tgz, r-oldrel (arm64): psychnets_0.4.3.tgz, r-release (x86_64): psychnets_0.4.3.tgz, r-oldrel (x86_64): psychnets_0.4.3.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=psychnets to link to this page.