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mrtsSphere

0.1.2Package record

Multi-Resolution Thin-Plate Splines on the Sphere

0packages depend
1.8Kdownloads / year
100.0%test coverage
13/13flavors OK

Overview

About

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

CRAN checks
13OK
Slowest check: 3.4 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK5 OK2026-04-30
Advisories

none known

Documentation

In release 0.1.2
READMEYes · 183 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
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

1.8K
CRAN downloads in the past year
Rank #15,124 · ~5/day · ~154/mo
Daily download trend is not available in this view yet.
25730 days
78990 days
1.8K1 year
Compare downloads with other packages →
Also on127 r2u5 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-05-01 · Default branch at 0.2.0, ahead of CRAN 0.1.2 (checked 2026-10-11)
Responsiveness
not measured
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/stlabtw/multi-resolution-sphere on 2026-10-11.

Reproducibility and dev environment (1)
data-raw/
CRAN release process (1)
cran-comments.md
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-03-23
    Commits: at least 11 crediting it in the message
Models named in its commits
  • Claude Opus 4.77 commits · Apr to May 2026
  • Claude Sonnet 4.63 commits · Mar 2026
  • Claude Opus 4.61 commit · Apr 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

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.

Depends (1)
R >= 4.0
Imports (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 0.1.2 (2026)
Releases (1)
  • 0.1.2Latest
    2026-04-29 · current release
  • R
    R 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

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("mrtsSphere")
Huang, H., Huang, H., & Ing, C. (2026). mrtsSphere: Multi-Resolution Thin-Plate Splines on the Sphere (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.mrtsSphere

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for mrtsSphere version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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