Changes in version 0.1.0                        

  - New native Bayesian estimators that statistically reproduce Mplus
    DSEM output without requiring Mplus:
      - build_mlvar_bayes() — two-level Bayesian VAR(1) with latent mean
        centering. temporal = "fixed" matches Mplus DSEM fixed temporal
        + random intercepts; temporal = "random" fits the full DSEM with
        person-specific temporal matrices and a random-effect covariance
        (reports random-slope SDs).
      - build_var_bayes() — single-level Bayesian VAR(1), the
        unregularized Bayesian analogue of graphical_var().
  - Pure-R conjugate Gibbs sampler (hand-rolled inverse-Wishart draws;
    no new dependencies). Posterior median / SD / 95% CI / one-tailed p,
    three networks (temporal, contemporaneous, between), and a
    Gelman-Rubin PSR diagnostic.
  - Validated to statistical (Monte-Carlo-error) equivalence against
    real Mplus 9 output; frozen ground-truth fixtures and parity tests
    under tests/testthat/fixtures/mplus/. See MPLUS-EQUIVALENCE.md.

  - Initial CRAN submission.
  - Provides idiographic network estimators for intensive longitudinal
    data, including ordinary VAR, graphical VAR, mlVAR, uSEM, and
    GIMME-style models.
  - Includes preprocessing audits, rolling-window estimation, forecast
    validation, edge stability diagnostics, model comparison, tidy
    accessors, and cograph plotting support.