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.