MiddleFork04.ssn        MiddleFork04.ssn: Middle Fork 2004 stream
                        temperature dataset
SSN_to_SSN2             Convert object from 'SpatialStreamNetwork'
                        class to 'SSN' class
Torgegram               Compute the empirical semivariogram
amongSitesBigDistMat    Helper function to determining distance
                        matrices among sites
anova.SSN2              Compute analysis of variance and likelihood
                        ratio tests of fitted model objects
augment.SSN2            Augment data with information from fitted model
                        objects
coef.SSN2               Extract fitted model coefficients
confint.SSN2            Confidence intervals for fitted model
                        parameters
cooks.distance.SSN2     Compute Cook's distance
copy_lsn_to_temp        Copy LSN to temporary directory
covmatrix.SSN2          Create a covariance matrix
create_netgeom          Create netgeom column in SSN object
deviance.SSN2           Fitted model deviance
fitted.SSN2             Extract model fitted values
formula.SSN2            Model formulae
glance.SSN2             Glance at a fitted model object
glances.SSN2            Glance at many fitted model objects
hatvalues.SSN2          Compute leverage (hat) values
influence.SSN2          Regression diagnostics
labels.SSN2             Find labels from object
logLik.SSN2             Extract log-likelihood
loocv.SSN2              Perform leave-one-out cross validation
mf04p                   Imported SSN object from the MiddleFork04.ssn
                        data folder
model.frame.SSN2        Extract the model frame from a fitted model
                        object
model.matrix.SSN2       Extract the model matrix from a fitted model
                        object
plot.SSN2               Plot fitted model diagnostics
plot.Torgegram          Plot Torgegram
predict.SSN2            Model predictions (Kriging)
print.SSN               Print SSN object
print.SSN2              Print values
pseudoR2.SSN2           Compute a pseudo r-squared
residuals.SSN2          Extract fitted model residuals
ssn_create_bigdist      Calculate Hydrologic Distances for an 'SSN'
                        object
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_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_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
tidy.SSN2               Tidy a fitted model object
varcomp.SSN2            Variability component comparison
vcov.SSN2               Calculate variance-covariance matrix for a
                        fitted model object
