Package: PNAR
Type: Package
Title: Poisson Network Autoregressive Models
Version: 1.6
Date: 2023-10-09
Authors@R: 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" ) )
Author: Michail Tsagris [aut, cre],
  Mirko Armillotta [aut, cph],
  Konstantinos Fokianos [aut]
Maintainer: Michail Tsagris <mtsagris@uoc.gr>
Description: Quasi likelihood-based methods for estimating linear and log-linear Poisson Network Autoregression models with p lags and covariates. Tools for testing the linearity versus several non-linear alternatives. Tools for simulation of multivariate count distributions, from linear and non-linear PNAR models, by using a specific copula construction. 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>. Armillotta, M., Tsagris, M. and Fokianos, K. (2022c). The R-package PNAR for modelling count network time series. <arXiv:2211.02582>.
Depends: R (>= 4.0)
Imports: doParallel, foreach, igraph, nloptr, parallel, Rfast, Rfast2,
        stats
License: GPL (>= 2)
LazyData: true
NeedsCompilation: no
Packaged: 2023-10-09 10:35:06 UTC; mtsag
Repository: CRAN
Date/Publication: 2023-10-09 13:40:14 UTC
Built: R 4.2.0; ; 2023-10-09 16:16:32 UTC; unix
