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
DOI: 10.32614/CRAN.package.SSN2
Author: Michael Dumelle ORCID iD [aut, cre], Jay M. Ver Hoef [aut], Erin Peterson [aut], Alan Pearse [ctb], Dan Isaak [ctb]
Maintainer: Michael Dumelle <Dumelle.Michael at>
License: GPL-3
NeedsCompilation: yes
Citation: SSN2 citation info
Materials: README NEWS
In views: Spatial
CRAN checks: SSN2 results


Reference manual: SSN2.pdf
Vignettes: An Introduction to SSN2


Package source: SSN2_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SSN2_0.1.1.tgz, r-oldrel (arm64): SSN2_0.1.1.tgz, r-release (x86_64): SSN2_0.1.1.tgz, r-oldrel (x86_64): SSN2_0.1.1.tgz
Old sources: SSN2 archive

Reverse dependencies:

Reverse imports: SSNbayes


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