SSN20.2.1 package

Copy LSN to temporary directory

Create a covariance matrix

Compute AIC and AICc of fitted model objects

Compute analysis of variance and likelihood ratio tests of fitted mode...

Augment data with information from fitted model objects

Extract fitted model coefficients

Confidence intervals for fitted model parameters

Compute Cook's distance

Create netgeom column in SSN object

Fitted model deviance

Extract model fitted values

Model formulae

Glance at a fitted model object

Glance at many fitted model objects

Compute leverage (hat) values

Regression diagnostics

Find labels from object

Extract log-likelihood

Perform leave-one-out cross validation

MiddleFork04.ssn: Middle Fork 2004 stream temperature dataset

Extract the model frame from a fitted model object

Extract the model matrix from a fitted model object

Plot fitted model diagnostics

Plot Torgegram

Model predictions (Kriging)

Print SSN object

Print values

Compute a pseudo r-squared

Objects exported from other packages

Extract fitted model residuals

Calculate Hydrologic Distances for an SSN object

Get a data.frame from an SSN, ssn_lm, or ssn_glm object

Extract netgeom column

Get stream distance matrices from an SSN object

Fitting Generalized Linear Models for Spatial Stream Networks

Import prediction points into an SSN, ssn_lm, or ssn_glm object

Import SSN object

Create a covariance parameter initial object

Fitting Linear Models for Spatial Stream Networks

Return names of data in an SSN object

Create covariance parameter objects.

Put an sf data.frame in an SSN object

Simulate random variables on a stream network

Split a prediction dataset in an SSN object

Subset an SSN object

Convert object from SpatialStreamNetwork class to SSN class

Update path in an SSN object

write an SSN object

SSN2: Spatial Modeling on Stream Networks

Summarize an SSN object

Summarize a fitted model object

Tidy a fitted model object

Compute the empirical semivariogram

Variability component comparison

Calculate variance-covariance matrix for a fitted model object