SSN: 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: 1.1.17
Depends: R (≥ 4.0.0), RSQLite (≥ 1.1-2), sp
Imports: MASS, igraph (≥ 1.0.0), maptools, lattice, methods, Matrix, rgdal (≥ 1.2-5), rgeos (≥ 0.3-22)
LinkingTo: BH
Published: 2023-02-27
Author: Jay Ver Hoef [aut, cre], Erin Peterson [aut]
Maintainer: Jay Ver Hoef <ver.hoef at>
License: GPL-2
NeedsCompilation: yes
Citation: SSN citation info
In views: Spatial
CRAN checks: SSN results


Reference manual: SSN.pdf


Package source: SSN_1.1.17.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): SSN_1.1.17.tgz, r-oldrel (arm64): SSN_1.1.17.tgz, r-release (x86_64): SSN_1.1.17.tgz, r-oldrel (x86_64): SSN_1.1.17.tgz
Old sources: SSN archive

Reverse dependencies:

Reverse depends: smnet
Reverse imports: openSTARS, SSNbayes


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