PNAR-package            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) model
global_optimise_LM_tnarpq
                        Optimization of the score test statistic for
                        the T-PNAR(p) model
lin_estimnarpq          Estimation of the linear Poisson NAR(p) model
                        model with p lags and q covariates (PNAR(p))
lin_ic_plot             Scatter plot of information criteria versus the
                        number of lags in the linear Poisson NAR(p)
                        model model with p lags and q covariates
                        (PNAR(p))
log_lin_estimnarpq      Estimation of the log-linear Poisson NAR(p)
                        model with p lags and q covariates
                        (log-PNAR(p))
log_lin_ic_plot         Scatter plot of information criteria versus the
                        number of lags in the log-linear Poisson NAR(p)
                        model with p lags and q covariates
                        (log-PNAR(p))
poisson.MODpq           Generation of counts from a linear Poisson
                        NAR(p) model with q covariates (PNAR(p))
poisson.MODpq.log       Generation of counts from a log-linear Poisson
                        NAR(p) model with q covariates (log-PNAR(p))
poisson.MODpq.nonlin    Generation of counts from a non-linear
                        Intercept Drift Poisson NAR(p) model with q
                        covariates (ID-PNAR(p))
poisson.MODpq.stnar     Generation of counts from a non-linear Smooth
                        Transition Poisson NAR(p) model with q
                        covariates (ST-PNAR(p))
poisson.MODpq.tnar      Generation of counts from a non-linear
                        Threshold Poisson NAR(p) model with q
                        covariates (T-PNAR(p))
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 PNAR(p) model
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
