m
(Package: smnet) :
Function used to set up univariate or bivariate smooth terms based on P-splines, for use within a call to smnet.
● Data Source:
CranContrib
● Keywords:
● Alias: m
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Generate summaries of linear and smooth components of an smnet object.
● Data Source:
CranContrib
● Keywords:
● Alias: summary.smnet
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get_adjacency
(Package: smnet) :
Construct an Adjacency Matrix
Builds a sparse adjacency matrix from a user specified SSN data directory, by extracting and processing the binaryID.db table. The resulting output of this function is required input for fitting spatial additive network models to SSN objects using the main smnet function.
● Data Source:
CranContrib
● Keywords: P-spline, network, sparse
● Alias: get_adjacency
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network
(Package: smnet) :
Specify Network Smoother in Formulae
This function specifies all of the information required to smooth parameters over the segments of a stream network using an adjacency matrix, and a vector of flow weights.
● Data Source:
CranContrib
● Keywords:
● Alias: network
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plot.smnet
(Package: smnet) :
Plot a Stream Network Model
Plot linear, univariate and bivariate smooth effects and network smooth terms that resulting from a call to smnet.
● Data Source:
CranContrib
● Keywords:
● Alias: plot.smnet
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predict.smnet
(Package: smnet) :
Predict From a Stream Network Model.
Get predictions and standard errors for a new set of spatial locations and associated covariate values from a model fitted by smnet.
● Data Source:
CranContrib
● Keywords:
● Alias: predict.smnet
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smnet
(Package: smnet) :
Additive Modelling for Stream Networks
Fits (Gaussian) additive models to river network data based on the flexible modelling framework described in O'Donnell et al. (2014). Data must be in the form of a SpatialStreamNetwork object as used by the SSN package (Ver Hoef et al., 2012). Smoothness of covariate effects is represented via a penalised B-spline basis (P-splines) and parameter estimates are obtained using penalised least-squares. Optimal smoothness is achieved by optimization of AIC, GCV or AICC.
● Data Source:
CranContrib
● Keywords: P-spline, network, sparse
● Alias: smnet
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show_weights
(Package: smnet) :
Search for and Validate Weights in an SSN Object
Utility function for exploring the valid weights available within an SSN object. Intended for validating columns within an SSN object before their use in a network smooth.
● Data Source:
CranContrib
● Keywords:
● Alias: show_weights
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