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))
lin_narpq_init          Starting values for 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))
log_lin_narpq_init      Starting values for 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 multivariate count time series
                        from a log-linear Poisson NAR(p) model with q
                        covariates (log-PNAR(p))
poisson.MODpq.nonlin    Generation of multivariate count time series
                        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
summary.DV              S3 methods for extracting the results of the
                        bound p-value for testing for smooth transition
                        effects on PNAR(p) model
summary.PNAR            S3 methods for extracting the results of the
                        estimation functions
summary.nonlin          S3 methods for extracting the results of the
                        non-linear hypothesis test
