Spatial Modeling on Stream Networks

---

Documentation for package ‘SSN2’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

A C D E F G H I L M N P R S T V

-- A --

AIC.SSN2	Compute AIC and AICc of fitted model objects
AIC.ssn_glm	Compute AIC and AICc of fitted model objects
AIC.ssn_lm	Compute AIC and AICc of fitted model objects
AICc.ssn_glm	Compute AIC and AICc of fitted model objects
AICc.ssn_lm	Compute AIC and AICc of fitted model objects
anova.SSN2	Compute analysis of variance and likelihood ratio tests of fitted model objects
anova.ssn_glm	Compute analysis of variance and likelihood ratio tests of fitted model objects
anova.ssn_lm	Compute analysis of variance and likelihood ratio tests of fitted model objects
augment.SSN2	Augment data with information from fitted model objects
augment.ssn_glm	Augment data with information from fitted model objects
augment.ssn_lm	Augment data with information from fitted model objects

-- C --

coef.SSN2	Extract fitted model coefficients
coef.ssn_glm	Extract fitted model coefficients
coef.ssn_lm	Extract fitted model coefficients
coefficients.ssn_glm	Extract fitted model coefficients
coefficients.ssn_lm	Extract fitted model coefficients
confint.SSN2	Confidence intervals for fitted model parameters
confint.ssn_glm	Confidence intervals for fitted model parameters
confint.ssn_lm	Confidence intervals for fitted model parameters
cooks.distance.SSN2	Compute Cook's distance
cooks.distance.ssn_glm	Compute Cook's distance
cooks.distance.ssn_lm	Compute Cook's distance
copy_lsn_to_temp	Copy LSN to temporary directory
covmatrix.SSN2	Create a covariance matrix
covmatrix.ssn_glm	Create a covariance matrix
covmatrix.ssn_lm	Create a covariance matrix

-- D --

deviance.SSN2	Fitted model deviance
deviance.ssn_glm	Fitted model deviance
deviance.ssn_lm	Fitted model deviance

-- E --

euclid_initial	Create a covariance parameter initial object
euclid_params	Create covariance parameter objects.

-- F --

fitted.SSN2	Extract model fitted values
fitted.ssn_glm	Extract model fitted values
fitted.ssn_lm	Extract model fitted values
fitted.values.ssn_glm	Extract model fitted values
fitted.values.ssn_lm	Extract model fitted values
formula.SSN2	Model formulae
formula.ssn_glm	Model formulae
formula.ssn_lm	Model formulae

-- G --

glance.SSN2	Glance at a fitted model object
glance.ssn_glm	Glance at a fitted model object
glance.ssn_lm	Glance at a fitted model object
glances.SSN2	Glance at many fitted model objects
glances.ssn_glm	Glance at many fitted model objects
glances.ssn_lm	Glance at many fitted model objects

-- H --

hatvalues.SSN2	Compute leverage (hat) values
hatvalues.ssn_glm	Compute leverage (hat) values
hatvalues.ssn_lm	Compute leverage (hat) values

-- I --

influence.SSN2	Regression diagnostics
influence.ssn_glm	Regression diagnostics
influence.ssn_lm	Regression diagnostics

-- L --

labels.SSN2	Find labels from object
labels.ssn_glm	Find labels from object
labels.ssn_lm	Find labels from object
logLik.SSN2	Extract log-likelihood
logLik.ssn_glm	Extract log-likelihood
logLik.ssn_lm	Extract log-likelihood
loocv.SSN2	Perform leave-one-out cross validation
loocv.ssn_glm	Perform leave-one-out cross validation
loocv.ssn_lm	Perform leave-one-out cross validation

-- M --

mf04p	Imported SSN object from the MiddleFork04.ssn data folder
MiddleFork04.ssn	MiddleFork04.ssn: Middle Fork 2004 stream temperature dataset
model.frame.SSN2	Extract the model frame from a fitted model object
model.frame.ssn_glm	Extract the model frame from a fitted model object
model.frame.ssn_lm	Extract the model frame from a fitted model object
model.matrix.SSN2	Extract the model matrix from a fitted model object
model.matrix.ssn_glm	Extract the model matrix from a fitted model object
model.matrix.ssn_lm	Extract the model matrix from a fitted model object

-- N --

names.SSN	names SSN object
nugget_initial	Create a covariance parameter initial object
nugget_params	Create covariance parameter objects.

-- P --

plot.SSN2	Plot fitted model diagnostics
plot.ssn_glm	Plot fitted model diagnostics
plot.ssn_lm	Plot fitted model diagnostics
plot.Torgegram	Plot Torgegram
predict.SSN2	Model predictions (Kriging)
predict.ssn_glm	Model predictions (Kriging)
predict.ssn_lm	Model predictions (Kriging)
print.anova.ssn_glm	Print values
print.anova.ssn_lm	Print values
print.SSN	Print SSN object
print.SSN2	Print values
print.ssn_glm	Print values
print.ssn_lm	Print values
print.summary.ssn_glm	Print values
print.summary.ssn_lm	Print values
pseudoR2.SSN2	Compute a pseudo r-squared
pseudoR2.ssn_glm	Compute a pseudo r-squared
pseudoR2.ssn_lm	Compute a pseudo r-squared

-- R --

resid.ssn_glm	Extract fitted model residuals
resid.ssn_lm	Extract fitted model residuals
residuals.SSN2	Extract fitted model residuals
residuals.ssn_glm	Extract fitted model residuals
residuals.ssn_lm	Extract fitted model residuals
rstandard.ssn_glm	Extract fitted model residuals
rstandard.ssn_lm	Extract fitted model residuals

-- S --

ssn_create_distmat	Calculate Hydrologic Distances for an 'SSN' object
ssn_get_data	Get a data.frame from an SSN, ssn_lm, or ssn_glm object
ssn_get_netgeom	Extract netgeom column
ssn_get_stream_distmat	Get stream distance matrices from an 'SSN' object
ssn_glm	Fitting Generalized Linear Models for Spatial Stream Networks
ssn_import	Import 'SSN' object
ssn_import_predpts	Import prediction points into an SSN, ssn_lm, or ssn_glm object
ssn_initial	Create a covariance parameter initial object
ssn_lm	Fitting Linear Models for Spatial Stream Networks
ssn_params	Create covariance parameter objects.
ssn_put_data	Put an sf data.frame in an SSN object
ssn_rbeta	Simulate random variables on a stream network
ssn_rbinom	Simulate random variables on a stream network
ssn_rgamma	Simulate random variables on a stream network
ssn_rinvgauss	Simulate random variables on a stream network
ssn_rnbinom	Simulate random variables on a stream network
ssn_rnorm	Simulate random variables on a stream network
ssn_rpois	Simulate random variables on a stream network
ssn_simulate	Simulate random variables on a stream network
ssn_split_predpts	Split a prediction dataset in an 'SSN' object
ssn_subset	Subset an 'SSN' object
SSN_to_SSN2	Convert object from 'SpatialStreamNetwork' class to 'SSN' class
ssn_update_path	Update path in an SSN object
ssn_write	write an SSN object
summary.SSN	Summarize an SSN object
summary.SSN2	Summarize a fitted model object
summary.ssn_glm	Summarize a fitted model object
summary.ssn_lm	Summarize a fitted model object

-- T --

taildown_initial	Create a covariance parameter initial object
taildown_params	Create covariance parameter objects.
tailup_initial	Create a covariance parameter initial object
tailup_params	Create covariance parameter objects.
tidy.anova.ssn_glm	Compute analysis of variance and likelihood ratio tests of fitted model objects
tidy.anova.ssn_lm	Compute analysis of variance and likelihood ratio tests of fitted model objects
tidy.SSN2	Tidy a fitted model object
tidy.ssn_glm	Tidy a fitted model object
tidy.ssn_lm	Tidy a fitted model object
Torgegram	Compute the empirical semivariogram

-- V --

varcomp.SSN2	Variability component comparison
varcomp.ssn_glm	Variability component comparison
varcomp.ssn_lm	Variability component comparison
vcov.SSN2	Calculate variance-covariance matrix for a fitted model object
vcov.ssn_glm	Calculate variance-covariance matrix for a fitted model object
vcov.ssn_lm	Calculate variance-covariance matrix for a fitted model object