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:

Reference manual:	SSN2.pdf
Vignettes:	An Introduction to SSN2 (source, R code)

Downloads:

Package source:	SSN2_0.2.1.tar.gz
Windows binaries:	r-devel: SSN2_0.2.1.zip, r-release: SSN2_0.2.1.zip, r-oldrel: SSN2_0.2.1.zip
macOS binaries:	r-release (arm64): SSN2_0.2.1.tgz, r-oldrel (arm64): SSN2_0.2.1.tgz, r-release (x86_64): SSN2_0.2.1.tgz, r-oldrel (x86_64): SSN2_0.2.1.tgz
Old sources:	SSN2 archive

Reverse dependencies:

Reverse imports:	SSNbayes, SSNbler
Reverse suggests:	MetricGraph

Linking:

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