Spatial Modeling on Stream Networks R package SSN2 version 0.4.0 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) 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. Software 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 Michael Dumelle <Dumelle.Michael@epa.gov> Comprehensive R Archive Network (CRAN) Michael Dumelle [aut, cre] (ORCID: <https://orcid.org/0000-0002-3393-5529>), Jay M. Ver Hoef [aut], Erin Peterson [aut], Alan Pearse [ctb], Dan Isaak [ctb], Ryan A. Hill [ctb], Marc Weber [ctb] GPL-3 2025-10-21 application/tgz https://CRAN.R-project.org/package=SSN2 doi:10.32614/CRAN.package.SSN2