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SSN2: Spatial Modeling on Stream Networks
Spatial statistical modeling and prediction for data on stream networks, including models based on in-stream distance (Ver Hoef, J.M. and Peterson, E.E., (2010) <doi:10.1198/jasa.2009.ap08248>.) Models are created using moving average constructions. Spatial linear models, including explanatory variables, can be fit with (restricted) maximum likelihood. Mapping and other graphical functions are included.
| Version: |
0.1.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
stats, sf, Matrix, generics, tibble, graphics, parallel, spmodel, RSQLite, utils |
| Suggests: |
rmarkdown, knitr, testthat (≥ 3.0.0), ggplot2, sp, statmod |
| Published: |
2024-01-15 |
| Author: |
Michael Dumelle 
[aut, cre],
Jay M. Ver Hoef [aut],
Erin Peterson [aut],
Alan Pearse [ctb],
Dan Isaak [ctb] |
| Maintainer: |
Michael Dumelle <Dumelle.Michael at epa.gov> |
| BugReports: |
https://github.com/USEPA/SSN2/issues |
| License: |
GPL-3 |
| URL: |
https://usepa.github.io/SSN2/ |
| NeedsCompilation: |
yes |
| Citation: |
SSN2 citation info |
| Materials: |
README NEWS |
| In views: |
Spatial |
| CRAN checks: |
SSN2 results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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https://CRAN.R-project.org/package=SSN2
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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