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.">

SSN2: Spatial Modeling on Stream Networks (original) (raw)

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: 0.4.0
Depends: R (≥ 2.10)
Imports: stats, sf, Matrix, generics, tibble, graphics, spmodel (≥ 0.7.0), RSQLite, utils, withr, doParallel, filematrix, foreach, parallel, itertools, iterators
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0), ggplot2, sp, statmod, pROC, emmeans (≥ 1.4), estimability
Published: 2025-10-21
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], Ryan A. Hill [ctb], Marc Weber [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 formhttps://CRAN.R-project.org/package=SSN2to link to this page.