c(
person( "Michail", "Tsagris", role = c("aut", "cre"), email = "mtsagris@uoc.gr" ),
person( "Mirko", "Armillotta", role = c("aut", "cph"), email = "armillotta.mirko.ucy.ac.cy" ),
person( "Konstantinos", "Fokianos", role = c("aut"), email = "fokianos@ucy.ac.cy" ) )
Michail Tsagris [aut, cre],
Mirko Armillotta [aut, cph],
Konstantinos Fokianos [aut]
Quasi likelihood-based methods for estimating Poisson Network Autoregression with p lags, PNAR, following generalized linear models are provided. PNAR models with the identity and with the logarithmic link function are allowed. The inclusion of exogenous covariates is also possible. Moreover, it provides tools for testing the linearity of linear PNAR model versus several nonlinear alternatives. Finally, it allows generating multivariate count distributions, from linear and nonlinear PNAR models, where the dependence between Poisson random variables is generated by suitable copulas. References include: Armillotta, M. and K. Fokianos (2022a). Poisson network autoregression. <arXiv:2104.06296>. Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. <arXiv:2202.03852>.
doParallel, foreach, igraph, nloptr, parallel, Rfast, Rfast2,
stats

Downloading, Reading and Analysing PNS Microdata
Provides tools for downloading, reading, and analysing the PNS
household survey from Brazilian Institute of Geography and Statistics - IBGE.
The data must be downloaded from the official website <https://www.ibge.gov.br/>.
Further analyses must be made using package 'survey'.

Provides tools for downloading, reading and analysing the PNS,
a household survey from Brazilian Institute of Geography and Statistics - IBGE.
The data must be downloaded from the official website <https://www.ibge.gov.br/>.
Further analysis must be made using package 'survey'.

Downloading, Reading and Analyzing PNS Microdata
Provides tools for downloading, reading and analyzing the PNS,
a household survey from Brazilian Institute of Geography and Statistics - IBGE.
The data must be downloaded from the official website <https://www.ibge.gov.br/>.
Further analysis must be made using package 'survey'.