R: Methods for Fitting Network Time Series Models

# Methods for Fitting Network Time Series Models

## Documentation for package ‘GNAR’ version 1.1.4

- DESCRIPTION file

## Help Pages

active_node_plot | Produces an active node matrix heat-map.
AIC.GNARfit | Akaike's Information Criterion for GNAR models
as.GNARnet | Functions to check and create GNARnet objects
as.matrix.GNARnet | Converts a GNAR networks into a weighted adjacency matrix
BIC.GNARfit | Bayesian Information Criterion for GNAR models
coef.GNARfit | Function to return coefficients of GNARfit objects
corbit_plot | Corbit (correlation-orbit) plot, which aids model selection by visualising network autocorrelation and partial network autocorrelation.
cross_correlation_plot | Produces a local neighbourhood relevance plot based on the distances in the underlying network.
fitted.GNARfit | Function to return fitted values of GNARfit objects
fiveNet | Example Network Time Series
fiveNode | Example Network Time Series
fiveVTS | Example Network Time Series
gdpVTS | Differenced GDP values for 35 countries
get_k_stages_adjacency_tensor | Computes a list of r-stage adjacency matrices.
GNAR | GNAR package
GNARdesign | Function to create the GNAR design matrix
GNARfit | Fitting function for GNAR models
GNARsim | Simulates a GNAR process
GNARtoigraph | Converts a GNAR network to a weighted igraph object
GNARXdesign | Function to create the GNARX design matrix
GNARXfit | Fitting function for GNARX models
GNARXsim | Simulates a GNARX process
igraphtoGNAR | Converts an igraph to GNAR network
is.GNARfit | Function to check GNARfit objects
is.GNARnet | Functions to check and create GNARnet objects
local_relevance_plot | Produces a local neighbourhood relevance plot based on the distances in the underlying network.
logLik.GNARfit | Log-likelihood method for GNARfit objects
logMVbedMVC.vts | Number of COVID19 admission to mechanical ventilation beds
matrixtoGNAR | Converts an adjacency matrix to GNAR network
na.row | Identifies which rows of a matrix have NAs
nacf | Computes the Network Autocorrelation Function (NACF)
NHSTrustMVCAug120.net | Constructed network linking 140 NHS Trusts in England and Wales
nobs.GNARfit | Function to return the number of observations input to GNARfit objects
node_relevance_plot | Produces a node relevance plot, which compares the impact each node has on the network autocorrelation once a model order has been chosen.
NofNeighbours | Calculates stage-neighbours of a network
plot.GNARnet | Plot function for GNAR networks
pnacf | Computes the Partial Network Autocorrelation Function (PNACF)
predict.GNARfit | Prediction of a GNARfit object
print.GNARfit | Function to print the model and coefficients of GNARfit objects
print.GNARnet | Print function for GNAR networks
residToMat | Converts the output of a GNARfit call to fitted and residual value matrices
residuals.GNARfit | Function to return residuals of GNARfit objects
r_corbit_plot | Produces a R-Corbit plot for the specified choice of covariate-levels and/or time-slices.
seed.nos | Vector of seed numbers
seedToNet | Produces a random network from a seed value
simulate.GNARfit | Function to simulate from a GNARfit object
summary.GNARfit | Returns model summary for a GNAR model fit
summary.GNARnet | Summary function for GNAR networks
vcov.GNARfit | Calculate variance-covariance matrix for a itted GNARfit object
vswind | Wind Speed example network time series
vswindcoords | Wind Speed example network time series
vswindnames | Wind Speed example network time series
vswindnet | Wind Speed example network time series
vswindnetD | Wind Speed example network time series
vswindts | Wind Speed example network time series
weights_matrix | Computes the weights matrix corresponding to the GNAR network object linked to the vector time series.
windnetplot | Produce bespoke plot of the wind data network