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SSN  

Spatial Modeling on Stream Networks
View on CRAN: Click here


Download and install SSN package within the R console
Install from CRAN:
install.packages("SSN")

Install from Github:
library("remotes")
install_github("cran/SSN")

Install by package version:
library("remotes")
install_version("SSN", "1.1.17")



Attach the package and use:
library("SSN")
Maintained by
Jay Ver Hoef
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-04-06
Latest Update: 2023-02-27
Description:
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. .) 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.
How to cite:
Jay Ver Hoef (2013). SSN: Spatial Modeling on Stream Networks. R package version 1.1.17, https://cran.r-project.org/web/packages/SSN. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.1.1 (2013-07-24 08:23), 1.1.2 (2014-01-21 11:24), 1.1.3 (2014-05-29 19:27), 1.1.4 (2014-11-04 01:50), 1.1.5 (2015-04-18 08:56), 1.1.6 (2015-08-23 23:39), 1.1.7 (2016-03-17 13:58), 1.1.8 (2016-10-15 18:51), 1.1.9 (2017-03-25 10:32), 1.1.10 (2017-04-13 01:44), 1.1.11 (2018-01-16 19:32), 1.1.12 (2018-01-25 23:14), 1.1.13 (2018-05-13 00:53), 1.1.14 (2020-02-23 23:40), 1.1.15 (2020-03-10 07:50), 1.1.16 (2023-02-09 21:00), 1.1.17 (2023-02-27 09:22), 1.1 (2013-04-06 06:46)
Other packages that cited SSN R package
View SSN citation profile
Other R packages that SSN depends, imports, suggests or enhances
Functions, R codes and Examples using the SSN R package
Some associated functions: AIC.glmssn . BLUP . BlockPredict . CrossValidationSSN . CrossValidationStatsSSN . EmpiricalSemivariogram . GR2 . InfoCritCompare . MiddleFork04.ssn . SSN-package . SimulateOnSSN . SpatialStreamNetwork-class . Torgegram . additive.function . binSp . boxplot.SpatialStreamNetwork . copyLSN2temp . covparms . createDistMat . createSSN . designs . fitNS . fitRE . fitSimBin . fitSimGau . fitSimPoi . fitSp . fitSpBk . fitSpRE1 . fitSpRE2 . getConfusionMat . getPreds . glmssn-class . glmssn . importPredpts . importSSN . influenceSSN-class . mf04 . mf04p . plot.SpatialStreamNetwork . plot.Torgegram . plot.glmssn.predict . plot.influenceSSN . poiSp . predict.glmssn . print.summary.glmssn . putSSNdata.frame . residuals.glmssn . summary.glmssn . updatePath . varcomp . 
Some associated R codes: AIC.glmssn.R . BLUP.R . BlockPredict.R . EmpiricalSemivariogam.R . GR2.R . InfoCritCompare.R . SSN-methods.R . SimulateOnSSN.R . Torgegram.R . UK4Apply.R . X.design.R . additive.function.R . amongPredsDistMat.R . arg.error.check.multi.R . boxplot.SpatialStreamNetwork.R . cau.Euclid.R . classes.R . copyLSN2temp.R . covparms.R . createDistMat.R . createSSN.R . dataXY.R . designs.R . distGeo.R . epa.taildown.R . epa.tailup.R . exp.Euclid.R . exp.taildown.R . exp.tailup.R . gau.Euclid.R . get.rid.fc.R . getConfusionMat.R . getObsRelationshipsDF.R . getPredRelationshipsDF.R . getPreds.R . getStreamDistMat.R . glmssn.R . glmssn1.R . importPredpts.R . importSSN.R . invall.R . lin.taildown.R . lin.tailup.R . locationsDF.R . m2LL.stream.R . makeCovMat.R . mar.taildown.R . mar.tailup.R . mginv.R . names.SpatialStreamNetwork.R . plot.SpatialStreamNetwork.R . plot.glmssn.predict.R . plot.influenceSSN.R . predict.glmssn.R . residuals.glmssn.R . rref.R . show_SpatialStreamNetwork.R . sph.Euclid.R . sph.taildown.R . sph.tailup.R . summary.SpatialStreamNetwork.R . summary.glmssn.R . summary.glmssn.predict.R . summary.influenceSSN.R . theta.ini.R . untrans.theta.R . varcomp.glmssn.R . xyplot.EmpiricalSemivariogramSSN.R .  Full SSN package functions and examples
Downloads during the last 30 days
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