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: 0.2.1
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 ORCID iD [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

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