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BKP 0.3.1 (2026-07-13)

• Reordered optional arguments in fit_BKP() and fit_DKP() to group kernel specification, length-scale settings, loss/ESS options, and optimization controls more consistently. Named-argument usage is unaffected.
• Updated probability-scale plot labels across plot.BKP(), plot.DKP(), plot.TwinBKP(), and plot.TwinDKP() to use “Posterior Mean,” “Posterior Variance,” and “95% Credible Interval” instead of “Predictive Mean,” “Predictive Variance,” and “95% CI.” This change clarifies that these panels summarize posterior uncertainty for the latent probability surface rather than the predictive distribution of future responses.
• Added links to the companion BKP-paper reproducibility repository in the package metadata and README. The repository contains the manuscript, replication code, data-processing scripts, and materials used to generate the examples and figures in the software paper.

BKP 0.3.0 (2026-07-01)

• Added fit_TwinDKP() and associated S3 methods for scalable global-local Dirichlet Kernel Process modeling.
• Added fit_TwinBKP() with full S3 support for scalable Twin Beta Kernel Process modeling.
• Implemented Twinning-based global subset selection and kd-tree local-neighbour search.

BKP 0.2.4 (2026-06-16)

• Improved computational efficiency by implementing kernel evaluation, prior construction, loss evaluation, and hyperparameter optimization routines in C++.
• Added support for the compactly supported Wendland kernel via kernel = "wendland".
• Added optional Shepard effective-sample-size calibration for fit_BKP(ess = "shepard") and fit_DKP(ess = "shepard"), while keeping the default ess = "none" behavior unchanged.
• Added ggplot2 support for plotting; plot.BKP(..., engine = "ggplot") now produces ggplot2-based visualizations.
• Added a package-wide isotropic argument, defaulting to TRUE, for isotropic kernels with a shared length-scale across dimensions. Set isotropic = FALSE to use anisotropic kernels with dimension-specific length-scales.

BKP 0.2.3 (2025-09-22)

• Removed vignettes to avoid redundancy with the arXiv paper and to resolve CRAN thread limit issues during vignette building.

BKP 0.2.0 (2025-09-16)

• Added fitted(), parameter(), and quantile() methods.
• Updated predict() and simulate() methods: both now return results for the training data by default when Xnew is not provided.
• Extended plot() method with new dims argument for higher-dimensional inputs.
• Added Section 5 to the vignette, presenting a real-data application on Loa loa parasite infection in North Cameroon.
• Added argument checking with informative error messages.

BKP 0.1.1 (2025-08-19)

• Added a vignette introducing the package.
• Fixed minor bugs and improved stability.

BKP 0.1.0 (2025-07-23)

• Initial release on CRAN.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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