Changes in version 2.1.7                        

  - Effects (age, period, cohort) are now computed automatically inside
    bamp() and stored in the returned object (model$effects), so a
    separate call to effects.apc() is no longer needed for the default
    median summary.
  - Fixed bug in effects.apc(): cache check was looking for x$effect
    (singular) instead of x$effects (plural), and referenced an
    undefined variable in the cache condition.
  - MCMC chains now use warm starts: on a restart the previous sample
    values are used as initial values, reducing burn-in time for
    automatic convergence checking. First-run behaviour is unchanged.

                        Changes in version 2.1.6                        

  - Fixed bug in cohort heterogeneity hyperparameter check
    (cohort="rw2+het" was not recognized correctly).
  - Fixed typo in period_covariate handling that silently prevented
    vector coercion.
  - Fixed checkConvergence(): cohort convergence check used age
    hyperparameter instead of cohort hyperparameter.
  - Fixed hyperparameter display in checkConvergence() info output.
  - Fixed memory leaks in C++ MCMC code (raw pointer allocations per
    iteration).
  - Fixed GetRNGstate/PutRNGstate pairing in random number generation.
  - Added Cholesky decomposition error check with informative message.
  - Replaced fork-based mclapply with socket-based makeCluster/parLapply
    for reliable parallel execution on all platforms, including macOS
    GUI environments (RStudio). Falls back to sequential if cluster
    setup fails.
  - MCMC chains that fail due to numerical errors are now discarded
    cleanly instead of continuing with corrupted values.
  - Cholesky decomposition now recovers from non-positive-definite
    precision matrices (common with RW2 priors during tuning) by adding
    increasing diagonal regularization and retrying, instead of aborting
    the chain.
  - Added unit tests.
  - Updated CITATION to use bibentry().

                 Changes in version 2.1.5 (2026-06-06)                  

  - bugfix RW2 by Chris Kypridemos
  - Fixed population dimension handling in predict_apc.R by pietrosa

                 Changes in version 2.1.3 (2022-10-18)                  

  - invalid UTF-8 in comment removed

                        Changes in version 2.1.2                        

  - Adapted to R 4.2

                 Changes in version 2.1.1 (2022-05-05)                  

  - USE_FC_LEN_T for Fortran code

                 Changes in version 2.1.0 (2021-06-10)                  

  - Better default settings (burn in times ten, more informative prior
    for age).
  - Add warnings for failed convergence checks and removed chains in
    bamp(), including suggestions.
  - Add warnings for failed convergence checks in print.apc().
  - Fixed unwanted doubling of MCMC when verbose=2.

                 Changes in version 2.0.8 (2020-01-23)                  

  - Minor bug fixes, fix "additional issues".

                 Changes in version 2.0.7 (2019-05-16)                  

  - Better initial setting for restarting iterations; helps with RW2
    priors.

                 Changes in version 2.0.6 (2019-01-08)                  

  - Introductory vignette renamed (double vignette name warning from
    CRAN).

                 Changes in version 2.0.5 (2018-12-12)                  

  - Removed ambiguities (mail Brian Ripley) and clean up in C code.

                 Changes in version 2.0.4 (2018-11-30)                  

  - Added examples to all functions.

                        Changes in version 2.0.3                        

  - Added more details to help pages.

                        Changes in version 2.0.2                        

  - Reference in description changed.

                        Changes in version 2.0.1                        

  - Smaller vignettes.

                        Changes in version 2.0.0                        

  - R package.