Multi-Resolution Thin-Plate Splines on the Sphere
Overview
Constructs multi-resolution thin-plate spline basis functions on the sphere for use in spatial regression and large-scale spatial prediction problems. Implements the basis 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 computations are written in 'C++' via 'Rcpp' with optional 'OpenMP' parallelism.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK5 OK2026-04-30
Documentation
- Help pages
- 2 (1 internal)includes a package overview page
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 100%
Downloads
Repository
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Checks run against github.com/stlabtw/multi-resolution-sphere on 2026-10-11.
This repository shows signs of AI coding tools.
- Claude Codefirst seen 2026-03-23Commits: at least 11 crediting it in the message
- Claude Opus 4.77 commits · Apr to May 2026
- Claude Sonnet 4.63 commits · Mar 2026
- Claude Opus 4.61 commit · Apr 2026
Dependencies
Installing mrtsSphere adds 4 packages (4 with compiled code, 3.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppEigen 1.7 MB, RcppNumerical 176 KB.
Code & Tests
People & History
- 0.1.2Latest2026-04-29 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-04-29
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Download size
- 1.7 MB
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