Package: psychnets
Title: Clean-Room Base-R Psychometric Network Estimation
Version: 0.2.1
Authors@R: 
    person("Mohammed", "Saqr", email = "ueflaunit@gmail.com",
           role = c("aut", "cre"))
Description: Estimates psychometric network models -- correlation and
        partial correlation, the EBIC-regularized Gaussian graphical
        model (graphical lasso), its nonparanormal and unregularized
        stepwise variants, information-filtering graphs (TMFG and
        LoGo), relative-importance networks, and the Ising and mixed
        graphical models -- reimplemented from first principles in base
        R with no compiled dependencies. Each regularized estimator
        ships a dependency-free correctness certificate (for the
        Gaussian graphical model, the graphical-lasso stationarity /
        KKT residual) so a fitted network is self-verifying: its
        distance from the unique optimum of its own convex objective is
        reported directly, rather than trusted only because it matches
        an external solver. The R counterpart to the 'psychaj'
        TypeScript library.
License: GPL-3
URL: https://github.com/mohsaqr/psychnet
BugReports: https://github.com/mohsaqr/psychnet/issues
Additional_repositories: https://mohsaqr.r-universe.dev
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: parallel, stats
Suggests: cograph, glasso, glmnet, IsingFit, knitr, mgm, mvtnorm,
        psych, qgraph, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Repository: https://mohsaqr.r-universe.dev
Date/Publication: 2026-06-28 20:15:38 UTC
RemoteUrl: https://github.com/mohsaqr/psychnet
RemoteRef: HEAD
RemoteSha: 96629041558445559943d8c79d91421ab777b380
NeedsCompilation: no
Packaged: 2026-06-28 22:04:41 UTC; root
Author: Mohammed Saqr [aut, cre]
Maintainer: Mohammed Saqr <ueflaunit@gmail.com>
Depends: R (>= 3.5.0)