Package: SSN2 0.4.0

Michael Dumelle

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.

Authors:Michael Dumelle [aut, cre], Jay M. Ver Hoef [aut], Erin Peterson [aut], Alan Pearse [ctb], Dan Isaak [ctb], Ryan A. Hill [ctb], Marc Weber [ctb]

SSN2_0.4.0.tar.gz
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SSN2_0.4.0.tgz(r-4.6-x86_64)SSN2_0.4.0.tgz(r-4.6-arm64)SSN2_0.4.0.tgz(r-4.5-x86_64)SSN2_0.4.0.tgz(r-4.5-arm64)
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SSN2_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SSN2/json (API)

# Install 'SSN2' in R:

install.packages('SSN2', repos = c('https://usepa.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/usepa/ssn2/issues

Pkgdown/docs site:https://usepa.github.io

Datasets:

mf04p - Imported SSN object from the MiddleFork04.ssn data folder

On CRAN:

7.18 score 25 stars 2 packages 67 scripts 440 downloads 50 exports 41 dependencies

Last updated from:d454f61dc8. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	437
linux-devel-x86_64	OK	365
source / vignettes	OK	271
linux-release-arm64	OK	328
linux-release-x86_64	OK	368
macos-release-arm64	OK	165
macos-release-x86_64	OK	417
macos-oldrel-arm64	OK	233
macos-oldrel-x86_64	OK	448
windows-devel	OK	268
windows-release	OK	303
windows-oldrel	OK	306
wasm-release	OK	130

Exports:AICc amongSitesBigDistMat augment AUROC copy_lsn_to_temp covmatrix create_netgeom dispersion_initial dispersion_params euclid_initial euclid_params glance glances loocv nugget_initial nugget_params pseudoR2 randcov_initial randcov_params ssn_create_bigdist ssn_create_distmat ssn_get_data ssn_get_netgeom ssn_get_stream_distmat ssn_glm ssn_import ssn_import_predpts ssn_lm ssn_names ssn_put_data ssn_rbeta ssn_rbinom ssn_rgamma ssn_rinvgauss ssn_rnbinom ssn_rnorm ssn_rpois ssn_simulate ssn_split_predpts ssn_subset SSN_to_SSN2 ssn_update_path ssn_write taildown_initial taildown_params tailup_initial tailup_params tidy Torgegram varcomp

Dependencies:bit bit64 blob cachem class classInt cli codetools cpp11 DBI doParallel e1071 fastmap filematrix foreach generics glue iterators itertools KernSmooth lattice lifecycle magrittr MASS Matrix memoise pillar pkgconfig proxy Rcpp rlang RSQLite s2 sf spmodel tibble units utf8 vctrs withr wk

An Introduction to Spatial Stream Network Modeling in R Using SSN2

Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2025-11-13
Started: 2023-10-20

Help page	Topics
Helper function to determining distance matrices among sites	amongSitesBigDistMat
Compute analysis of variance and likelihood ratio tests of fitted model objects	anova.SSN2 anova.ssn_glm anova.ssn_lm tidy.anova.ssn_glm tidy.anova.ssn_lm
Augment data with information from fitted model objects	augment.SSN2 augment.ssn_glm augment.ssn_lm
Extract fitted model coefficients	coef.SSN2 coef.ssn_glm coef.ssn_lm coefficients.ssn_glm coefficients.ssn_lm
Confidence intervals for fitted model parameters	confint.SSN2 confint.ssn_glm confint.ssn_lm
Compute Cook's distance	cooks.distance.SSN2 cooks.distance.ssn_glm cooks.distance.ssn_lm
Copy LSN to temporary directory	copy_lsn_to_temp
Create a covariance matrix	covmatrix.SSN2 covmatrix.ssn_glm covmatrix.ssn_lm
Create netgeom column in SSN object	create_netgeom
Fitted model deviance	deviance.SSN2 deviance.ssn_glm deviance.ssn_lm
Extract model fitted values	fitted.SSN2 fitted.ssn_glm fitted.ssn_lm fitted.values.ssn_glm fitted.values.ssn_lm
Model formulae	formula.SSN2 formula.ssn_glm formula.ssn_lm
Glance at a fitted model object	glance.SSN2 glance.ssn_glm glance.ssn_lm
Glance at many fitted model objects	glances.SSN2 glances.ssn_glm glances.ssn_lm
Compute leverage (hat) values	hatvalues.SSN2 hatvalues.ssn_glm hatvalues.ssn_lm
Regression diagnostics	influence.SSN2 influence.ssn_glm influence.ssn_lm
Find labels from object	labels.SSN2 labels.ssn_glm labels.ssn_lm
Extract log-likelihood	logLik.SSN2 logLik.ssn_glm logLik.ssn_lm
Perform leave-one-out cross validation	loocv.SSN2 loocv.ssn_glm loocv.ssn_lm
Imported SSN object from the MiddleFork04.ssn data folder	mf04p
MiddleFork04.ssn: Middle Fork 2004 stream temperature dataset	MiddleFork04.ssn
Extract the model frame from a fitted model object	model.frame.SSN2 model.frame.ssn_glm model.frame.ssn_lm
Extract the model matrix from a fitted model object	model.matrix.SSN2 model.matrix.ssn_glm model.matrix.ssn_lm
Plot fitted model diagnostics	plot.SSN2 plot.ssn_glm plot.ssn_lm
Plot Torgegram	plot.Torgegram
Model predictions (Kriging)	predict.SSN2 predict.ssn_glm predict.ssn_lm
Print SSN object	print.SSN
Print values	print.anova.ssn_glm print.anova.ssn_lm print.SSN2 print.ssn_glm print.ssn_lm print.summary.ssn_glm print.summary.ssn_lm
Compute a pseudo r-squared	pseudoR2.SSN2 pseudoR2.ssn_glm pseudoR2.ssn_lm
Extract fitted model residuals	resid.ssn_glm resid.ssn_lm residuals.SSN2 residuals.ssn_glm residuals.ssn_lm rstandard.ssn_glm rstandard.ssn_lm
Calculate Hydrologic Distances for an 'SSN' object	ssn_create_bigdist
Calculate Hydrologic Distances for an 'SSN' object	ssn_create_distmat
Get a data.frame from an SSN, ssn_lm, or ssn_glm object	ssn_get_data
Extract netgeom column	ssn_get_netgeom
Get stream distance matrices from an 'SSN' object	ssn_get_stream_distmat
Fitting Generalized Linear Models for Spatial Stream Networks	ssn_glm
Import 'SSN' object	ssn_import
Import prediction points into an SSN, ssn_lm, or ssn_glm object	ssn_import_predpts
Create a covariance parameter initial object	euclid_initial nugget_initial ssn_initial taildown_initial tailup_initial
Fitting Linear Models for Spatial Stream Networks	ssn_lm
Return names of data in an SSN object	ssn_names
Create covariance parameter objects.	euclid_params nugget_params ssn_params taildown_params tailup_params
Put an sf data.frame in an SSN object	ssn_put_data
Simulate random variables on a stream network	ssn_rbeta ssn_rbinom ssn_rgamma ssn_rinvgauss ssn_rnbinom ssn_rnorm ssn_rpois ssn_simulate
Split a prediction dataset in an 'SSN' object	ssn_split_predpts
Subset an 'SSN' object	ssn_subset
Convert object from 'SpatialStreamNetwork' class to 'SSN' class	SSN_to_SSN2
Update path in an SSN object	ssn_update_path
write an SSN object	ssn_write
Summarize an SSN object	summary.SSN
Summarize a fitted model object	summary.SSN2 summary.ssn_glm summary.ssn_lm
Tidy a fitted model object	tidy.SSN2 tidy.ssn_glm tidy.ssn_lm
Compute the empirical semivariogram	Torgegram
Variability component comparison	varcomp.SSN2 varcomp.ssn_glm varcomp.ssn_lm
Calculate variance-covariance matrix for a fitted model object	vcov.SSN2 vcov.ssn_glm vcov.ssn_lm

Package: SSN2 0.4.0

SSN2: Spatial Modeling on Stream Networks

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