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bkmrhat

INFRA · APIS
Velocity0.0

Parallel Chain Tools for Bayesian Kernel Machine Regression

A parallel-chain helper for bkmr that has settled into pure upkeep.

bayesian-statisticsmcmcparallel-computingr-packagemaintenance
Current state
bkmrhat wraps Bayesian kernel machine regression (bkmr) so users can run and diagnose multiple MCMC chains in parallel, then combine or continue them. The functional surface has been stable since 2022, when chain-combining picked up a low-memory path and a seed-collision bug was corrected. The most recent release adds only diagnostic metadata to the package description.
Where it's heading
Three releases across five years, and the newest carries no user-facing change at all. The package is in maintenance: it does what it set out to do for bkmr users, and updates now arrive only when CRAN or an upstream dependency forces them.
Prediction
Expect the next release to be another compliance or dependency-driven patch rather than new functionality; the entries show no in-progress feature work.

Recent moves

  1. 9mo ago

    Debugging metadata added to package description

    The only change is extra debugging information in the package description, prompted by a user issue. It confirms the maintenance posture: three years after the last functional release, the package moves only for housekeeping.

    View source ↗
  2. 4y ago

    Low-memory chain combining plus a seed-collision fix

    Adds kmbayes_combine_lowmem() for settings where the standard combine runs out of memory, and fixes a seed bug introduced in v1.0.1 that left parallel chains with identical seeds. The seed fix matters most — identical seeds quietly defeat the point of running chains in parallel.

    View source ↗
  3. 5y ago

    First release: parallel chains and continuation for bkmr

    The founding release establishes the package's entire remit: parallel-chain diagnostics for bkmr and functions to continue fitting from an existing fit. Everything since has been refinement of this surface rather than expansion beyond it.

    View source ↗