Man pages for PNAR
Poisson Network Autoregressive Models
| adja | Generation of a network from the Stochastic Block Model |
| adja_gnp | Generation of a network from the Erdos-Renyi model |
| crime | Chicago crime dataset |
| crime_W | Network matrix for Chicago crime dataset |
| getN | Count the number of events within a specified time |
| global_optimise_LM_stnarpq | Optimization of the score test statistic for the ST-PNAR(p)... |
| global_optimise_LM_tnarpq | Optimization of the score test statistic for the T-PNAR(p)... |
| lin_estimnarpq | Estimation of the linear Poisson NAR(p) model model with p... |
| lin_ic_plot | Scatter plot of information criteria versus the number of... |
| lin_narpq_init | Starting values for the linear Poisson NAR(p) model model... |
| log_lin_estimnarpq | Estimation of the log-linear Poisson NAR(p) model with p lags... |
| log_lin_ic_plot | Scatter plot of information criteria versus the number of... |
| log_lin_narpq_init | Starting values for the log-linear Poisson NAR(p) model with... |
| PNAR-package | Poisson Network Autoregressive Models |
| poisson.MODpq | Generation of counts from a linear Poisson NAR(p) model with... |
| poisson.MODpq.log | Generation of multivariate count time series from a... |
| poisson.MODpq.nonlin | Generation of multivariate count time series from a... |
| poisson.MODpq.stnar | Generation of counts from a non-linear Smooth Transition... |
| poisson.MODpq.tnar | Generation of counts from a non-linear Threshold Poisson... |
| rcopula | Random number generation of copula functions |
| score_test_nonlinpq_h0 | Linearity test against non-linear ID-PNAR(p) model |
| score_test_stnarpq_DV | Bound p-value for testing for smooth transition effects on... |
| score_test_stnarpq_j | Bootstrap test for smooth transition effects on PNAR(p) model |
| score_test_tnarpq_j | Bootstrap test for threshold effects on PNAR(p) model |
| summary.DV | S3 methods for extracting the results of the bound p-value... |
| summary.nonlin | S3 methods for extracting the results of the non-linear... |
| summary.PNAR | S3 methods for extracting the results of the estimation... |
