spDBL 1.1.1

Calibration accepts a positive-definite discrepancy covariance scale U with non-unit diagonal, preserving the original research experiment's discrepancy-to-observation variance ratio.
Default emulator coefficient sampling to smoothed marginals conditional on a shared covariance draw. Add sampling = "joint" for coherent backward paths under both scalar-variance and inverse-Wishart covariance models.
Let calibration preparation inherit or explicitly change the fitted sampling method, with sampling metadata retained in saved objects and fit summaries.
Default calibration to one chain, one iteration, zero warmup, and one retained sample per emulator draw. Longer iterations and other controls remain options; warmup, retained-sample counts, and default controls adapt to the settings.
Default the installed reproduction script to the marginal oneiter500 profile; update the vignettes and recorded example to these defaults.

spDBL 1.1.0

Add optional RStan calibration with Gaussian discrepancy marginalization, coherent posterior recovery, equal pooling of emulator conditionals, and conditional-fit diagnostics.
Add a sigma2R option and complete metadata to the emulator wrapper.
Add an offline GP for predicting AR design rows without further PDE solves. Its interpolation uncertainty remains excluded from calibration.
Extend exact FFBS prediction with fixed coefficient trajectories, cached factors, and conditional covariance; preserve the default mean interface.
Correct sigma2R trajectory sampling to condition backward on sampled states.
Add compact calibration data, two package vignettes, and installed reproduction scripts. One-iteration runs are labeled execution experiments.
Show 500 one-transition calibration samples in the end-to-end vignette, with eta histograms and a variance/discrepancy/field comparison panel.