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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "psychnets" in publications use:'
type: software
license: GPL-3.0-only
title: 'psychnets: Clean-Room Base-R Psychometric Network Estimation'
version: 0.2.1
abstract: '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.'
authors:
- family-names: Saqr
  given-names: Mohammed
  email: ueflaunit@gmail.com
repository: https://mohsaqr.r-universe.dev
repository-code: https://github.com/mohsaqr/psychnet
commit: 96629041558445559943d8c79d91421ab777b380
url: https://github.com/mohsaqr/psychnet
date-released: '2026-06-28'
contact:
- family-names: Saqr
  given-names: Mohammed
  email: ueflaunit@gmail.com