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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: |
0.2.1 |
| Depends: |
R (≥ 2.10) |
| Imports: |
stats, sf, Matrix, generics, tibble, graphics, spmodel, RSQLite, utils, withr |
| Suggests: |
rmarkdown, knitr, testthat (≥ 3.0.0), ggplot2, sp, statmod |
| Published: |
2024-08-28 |
| DOI: |
10.32614/CRAN.package.SSN2 |
| 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:
Please use the canonical form
https://CRAN.R-project.org/package=SSN2
to link to this page.
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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