https://stlabtw.r-universe.devRecent package updates in stlabtwR-universehttps://github.com/stlabtw.pnghttps://stlabtw.r-universe.devFri, 01 May 2026 08:24:18 GMThhuscout@gmail.com (Hao-Yun Huang)Constructs multi-resolution thin-plate spline (MRTS) basis functions on the sphere and fits the corresponding multi-resolution mixed model (MRMM) by generalised least squares with a tapered Matérn residual covariance, including kriging-style prediction with closed-form standard errors. Implements the system described in Huang, Huang, and Ing (2025) "Multi-Resolution Spatial Methods on the Sphere: Efficient Prediction for Global Data", Environmetrics, <doi:10.1002/env.70092>. Heavy basis computations are written in 'C++' via 'Rcpp' with optional 'OpenMP' parallelism.https://github.com/r-universe/stlabtw/actions/runs/26706100573Fri, 01 May 2026 08:24:18 GMTmrtsSphere0.2.0successhttps://stlabtw.r-universe.devhttps://github.com/stlabtw/multi-resolution-sphere