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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 "idiographic" in publications use:'
type: software
license: GPL-3.0-only
title: 'idiographic: Network Estimation from Intensive Longitudinal Data'
version: 0.1.0
abstract: Person-specific and within-person network estimation from intensive longitudinal
  and panel data. Provides preprocessing audits, edge-stability diagnostics, model-comparison
  reports, rolling forecast validation, rolling ordinary and graphical vector autoregression,
  ordinary vector autoregression (VAR), graphical vector autoregression (graphical
  VAR), multilevel vector autoregression (mlVAR), native Bayesian VAR and multilevel
  VAR that statistically reproduce 'Mplus' Dynamic Structural Equation Modeling (DSEM)
  output without requiring 'Mplus', unified Structural Equation Modeling (uSEM), and
  Group Iterative Multiple Model Estimation (GIMME) as clean-room implementations.
  Split out of the 'Nestimate' package so the idiographic time-series methods carry
  their own dependencies. Results have tidy accessors and 'cograph_network' plotting
  support.
authors:
- family-names: Saqr
  given-names: Mohammed
  email: mohammed.saqr@uef.fi
repository: https://mohsaqr.r-universe.dev
commit: 8bcb5b760c6830852cb37312e1a2c320986ac0ca
date-released: '2026-07-01'
contact:
- family-names: Saqr
  given-names: Mohammed
  email: mohammed.saqr@uef.fi