NEWS
idiographic 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.