https://github.com/csiro/dstsom

Dynamic Spatio-Temporal Sequential Ordinal Models
https://github.com/csiro/dstsom

Last synced: 5 months ago
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Dynamic Spatio-Temporal Sequential Ordinal Models

• Host: GitHub
• URL: https://github.com/csiro/dstsom
• Owner: csiro
• License: other
• Created: 2025-08-28T23:50:27.000Z (10 months ago)
• Default Branch: main
• Last Pushed: 2025-09-03T04:06:29.000Z (9 months ago)
• Last Synced: 2025-09-10T06:42:03.541Z (9 months ago)
• Language: R
• Size: 6.22 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: COPYING.md

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README

          
Copyright (c) 2024 Commonwealth Scientific and Industrial Research Organisation

(CSIRO) ABN 41 687 119 230.

This code is released under a General Public License, version 3 or any higher

version as noted in the license field of the DESCRIPTION file. You can obtain a

copy of the GPLv3 license at  or

by executing `RShowDoc("GPL-3")` in R.

CSIRO does not make any guarantees of accuracy or relevance of the code.  CSIRO

does not guarantee the code has no security vulnerabilities.  CSIRO does not

guarantee to bug-fix or security-fix the code.  CSIRO reserves the right to

"retire" the code and make no further changes.

Please see DESCRIPTION file for further information on this code. Please see

LICENSE file for information on data licenses. This package provides 

Supplementary Information to the arXiv document at 

, see file vignettes/DSTSOM.pdf.

To cite this package use:

  Hosack GR, Yang W, Pike KN (2025). _DSTSOM: Dynamic Spatio-Temporal 

  Sequential Ordinal Models_. R package version 0.1.0.

  Hosack GR, Yang W, Pike KN, O'Loughlin LS, Cook E, Howland B, Sutcliffe E, 

  Milner RNC, Gooden B, Froese JG (2025). “Dynamic Spatio-Temporal Sequential 

  Ordinal Models: Application to Invasive Weeds.” _arXiv_. 

  arXiv:2509.01976 [stat.AP],   .