Package: idiographic
Type: Package
Title: Network Estimation from Intensive Longitudinal Data
Version: 0.1.0
Authors@R: person("Mohammed", "Saqr", role = c("aut", "cre"),
    email = "mohammed.saqr@uef.fi")
Author: Mohammed Saqr [aut, cre]
Maintainer: Mohammed Saqr <mohammed.saqr@uef.fi>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.1)
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
Imports: stats, utils, lme4, lavaan
Suggests: testthat (>= 3.0.0), cograph, mlVAR, MplusAutomation, gimme,
        graphicalVAR, glasso, qgraph, rio, knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/pak/sysreqs: cmake make
Repository: https://mohsaqr.r-universe.dev
Date/Publication: 2026-07-01 20:58:22 UTC
RemoteUrl: https://github.com/mohsaqr/idiographic
RemoteRef: HEAD
RemoteSha: 8bcb5b760c6830852cb37312e1a2c320986ac0ca
NeedsCompilation: no
Packaged: 2026-07-01 21:24:41 UTC; root