NEWS.md

In rlibkriging: Kriging Models using the 'libKriging' Library

rlibkriging 1.1-1

Fixes

• Shrink test-NestedKriging.R design/test sizes to avoid a check timeout on slow CRAN workers (e.g. r-devel-linux-x86_64-fedora-*, which exceeded the 45-minute test time limit under 1.1-0).

rlibkriging 1.1-0

New features

• New NestedKriging class: a divide-and-conquer Gaussian process for large designs. The data are partitioned into groups, one Kriging submodel is fitted per group with a common prior, and predictions are aggregated with the optimal nested-kriging aggregation ("NK", interpolating) or a product-of-experts rule ("PoE", "gPoE", "BCM", "rBCM").

• New Vecchia approximated log-likelihood objective for large designs: fit a Kriging model with objective = "VLL(m)" (or "VLL", default m = 30), costing O(n m^3) per evaluation instead of O(n^3).

Changes

• Kriging() / fit(): objective now also accepts "VLL" / "VLL(m)", and regmodel now accepts "quadratic".

• Kriging() / fit(): the noise argument has been moved to the last position, for consistency with WarpKriging and the other language bindings. Code that passes noise by name is unaffected; positional calls that relied on noise being the 4th argument must be updated.

Fixes

• Fix a possible deadlock when forking after threads were created.
• Numerous build and portability fixes (Windows, macOS deployment target).

rlibkriging documentation built on July 12, 2026, 5:06 p.m.