Man pages for GNAR
Methods for Fitting Network Time Series Models
| active_node_plot | Produces an active node matrix heat-map. |
| AIC.GNARfit | Akaike's Information Criterion for GNAR models |
| 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... |
| fitted.GNARfit | Function to return fitted values of GNARfit objects |
| fiveNode | 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... |
| 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 |
| nacf | Computes the Network Autocorrelation Function (NACF) |
| na.row | Identifies which rows of a matrix have NAs |
| NHSTrustMVCAug120.net | Constructed network linking 140 NHS Trusts in England and... |
| nobs.GNARfit | Function to return the number of observations input to... |
| node_relevance_plot | Produces a node relevance plot, which compares the impact... |
| 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... |
| print.GNARnet | Print function for GNAR networks |
| residToMat | Converts the output of a GNARfit call to fitted and residual... |
| residuals.GNARfit | Function to return residuals of GNARfit objects |
| 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... |
| vswind | Wind Speed example network time series |
| wagner_plot | Produces a Wagner plot for the specified choice of covariates... |
| weights_matrix | Computes the weights matrix corresponding to the GNAR network... |
| windnetplot | Produce bespoke plot of the wind data network |
