dcvar 0.2.0
Simulation model parity
- Added a constant Clayton-copula DC-VAR for normal margins via
dcvar_constant(copula = "clayton").
- Added exponential-margin support for
dcvar_multilevel().
- Added naive SEM score models via
dcvar_sem(method = "naive") for normal and exponential
margins.
- Added
dependence_summary() for Kendall’s tau summaries
across Gaussian and Clayton copula fits.
Infrastructure
- Added copula-family dispatch alongside the existing margin
dispatch.
- Added bundled Stan models for the new Clayton, multilevel
exponential, and naive SEM variants.
- Updated extractors, summaries, diagnostics, LOO support, and tests
for the new model variants.
dcvar 0.1.0
Scope and documentation
- Clarified that the package currently implements Gaussian-copula
models only.
- Marked the multilevel and SEM variants as experimental extensions
with narrower diagnostic support than the core single-level models.
- Documented PIT diagnostics as posterior-mean plug-in diagnostics and
made the unsupported multilevel and SEM paths explicit in the help
pages.
- Clarified the current scope of
loo() support across
model classes.
Build and submission hygiene
- Excluded local
*-test-local.log artifacts from source
builds.
- Added package citation metadata.
Testing
- Added skew-normal fit coverage for
dcvar() and
dcvar_hmm().
- Added PIT smoke coverage for gamma and skew-normal margins.