CRAN/E | PNAR

PNAR

Poisson Network Autoregressive Models

Installation

About

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. . Armillotta, M. and K. Fokianos (2022b). Testing linearity for network autoregressive models. . Armillotta, M., Tsagris, M. and Fokianos, K. (2022c). The R-package PNAR for modelling count network time series. .

Key Metrics

Version 1.6
R ≥ 4.0
Published 2023-10-09 204 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks PNAR results

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Maintainer

Maintainer

Michail Tsagris

mtsagris@uoc.gr

Authors

Michail Tsagris

aut / cre

Mirko Armillotta

aut / cph

Konstantinos Fokianos

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PNAR archive

Depends

R ≥ 4.0

Imports

doParallel
foreach
igraph
nloptr
parallel
Rfast
Rfast2
stats