disaggregation
0.4.1Disaggregation Modelling
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Overview
About
Fits disaggregation regression models using 'TMB' ('Template Model Builder'). When the response data are aggregated to polygon level but the predictor variables are at a higher resolution, these models can be useful. Regression models with spatial random fields. The package is described in detail in Nandi et al. (2023) doi:10.18637/jss.v106.i11.
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Slowest check: 17.4 min · r-oldrel-windows-x86_64
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- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Dependencies
Declared dependencies
17 external dependencies (excludes base and recommended)
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none
Suggests (4)
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none
Code & Tests
People & History
People (5)
Maintainer (1)
Author, Maintainer
Authors (4)
Contributors (1)
Contributor · added in 0.3.0
Package Timeline
10 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.4.1Latest
- RR 4.5.0 released · 2025-04-11
- 0.4.02024-10-02 · diff ↗
- RR 4.4.0 released · 2024-04-24
- 0.3.02023-11-08 · diff ↗
- unarchivedReturned to CRAN2023-11-08
- archivedRemoved from CRAN2023-10-21check problems were not corrected in time Seen on platforms with current INLA installed
- 0.2.12023-09-07 · diff ↗
- 0.2.02023-04-28 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 0.1.42022-09-06 · diff ↗
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.32020-02-19 · diff ↗
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Package metadata
- First published
- 2019-12-06
- Total releases
- 10 / 7 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 343 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet