Spatial Modeling on Stream Networks

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Documentation for package ‘SSN2’ version 0.2.0

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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
create_netgeom Create netgeom column in SSN object

-- 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 --

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_names Return names of data in an SSN object
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