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:	1.1.15
Depends:	R (≥ 3.4.0), 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:	2020-03-10
Author:	Jay Ver Hoef [aut, cre], Erin Peterson [aut]
Maintainer:	Jay Ver Hoef <ver.hoef at SpatialStreamNetworks.com>
License:	GPL-2
NeedsCompilation:	yes
Citation:	SSN citation info
In views:	Spatial
CRAN checks:	SSN results

Documentation:

Reference manual:

SSN.pdf

Downloads:

Package source:	SSN_1.1.15.tar.gz
Windows binaries:	r-devel: SSN_1.1.15.zip, r-release: SSN_1.1.15.zip, r-oldrel: SSN_1.1.15.zip
macOS binaries:	r-release (arm64): SSN_1.1.15.tgz, r-oldrel (arm64): SSN_1.1.15.tgz, r-release (x86_64): SSN_1.1.15.tgz, r-oldrel (x86_64): SSN_1.1.15.tgz
Old sources:	SSN archive

Reverse dependencies:

Reverse depends:	smnet
Reverse imports:	OCNet, openSTARS, SSNbayes

Linking:

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