Generate an Additive Function Value
Fitted glmssn object for simulated data
Get Covariance Parameters
Class "influenceSSN"
Split Prediction Sets in a SpatialStreamNetwork Object
Imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
Class "glmssn"
Design functions
Fitted glmssn object for example data set MiddleFork.ssn
Fitted glmssn object for example data set MiddleFork.ssn
Update Path Slot in SpatialStreamNetwork Object
Fitting Generalized Linear Models for Spatial Stream Networks
Extract Predictions with associated standard errors.
Compare glmssn
Information Criteria
Spatial Modeling on Stream Networks
Create an SpatialStreamnetwork Object
putSSNdata.frame
SpatialStreamNetwork-class
Class "SpatialStreamNetwork"
Plot glmssn.predict Objects
plot.SpatialStreamNetwork
Plotting Method for SpatialStreamNetwork Objects
Generalised R2
Simulating Data on Spatial Stream Networks
Write a SpatialStreamNetwork Object
Print summary - S3 Method for Class 'glmssn'
Calculate Hydrologic Distances for a SpatialStreamNetwork Object
Import Prediction Points into a SpatialStreamNetwork or glmssn Object
Plotting Method for Torgegram Objects
Fitted glmssn object for example data set MiddleFork.ssn
Fitted glmssn object for example data set MiddleFork.ssn
boxplot.SpatialStreamNetwork
Box-and-whisker plots for data within SpatialStreamNetwork objects.
Fitted glmssn object for simulated data
Fitted glmssn object for example data set MiddleFork.ssn
Compute Summary Statistics on Crossvalidation Values for glmssn Objects
MiddleFork04.ssn data folder
Summary - S3 Method for Class 'glmssn'
Compute Crossvalidation Values for glmssn Objects
imported SpatialStreamNetwork object from MiddleFork04.ssn data folder
Empirical Semivariogram Based on Hydrologic Distance and flow connection
Fitted glmssn object for example data set MiddleFork.ssn
Block Predicton for Streams Data
Fitted glmssn object for example data set MiddleFork.ssn
Import an object of class SpatialStreamNetwork
Compute Model Residuals for glmssn Objects
Fitted glmssn object for simulated data
Compute the joint mean, variance and covariance of any random effects
in a glmssn model conditional on the data
Empirical Semivariogram Based on Euclidean Distance
Fitted glmssn object for example data set MiddleFork.ssn
Calculate Predictions for Prediction Sites
Plotting Method for influenceSSN Objects
Variance Components for glmssn Objects
Subset a SpatialStreamNetwork Object