CompositionalSR
1.4Spatial Regression Models with Compositional Data
Overview
Spatial and non-spatial regression models with compositional responses (and compositional predictors) using the alpha--transformation. Relevant papers include: Tsagris M. and Pantazis Y. (2026), doi:10.48550/arXiv.2510.12663, Tsagris M. (2015), https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf, Tsagris M.T., Preston S. and Wood A.T.A. (2011), doi:10.48550/arXiv.1106.1451.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-1514 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 2 earlier snapshots
- ERROR2026-04-0913 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
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- Return-value docs
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- References docs
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Code & Tests
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5 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2025-10-23
- Total releases
- 5 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Bundled data
- 8.1 KB / 1 file
- Download size
- 41 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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