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PNAR  

Poisson Network Autoregressive Models
View on CRAN: Click here


Download and install PNAR package within the R console
Install from CRAN:
install.packages("PNAR")

Install from Github:
library("remotes")
install_github("cran/PNAR")

Install by package version:
library("remotes")
install_version("PNAR", "1.7")



Attach the package and use:
library("PNAR")
Maintained by
Michail Tsagris
[Scholar Profile | Author Map]
First Published: 2022-06-08
Latest Update: 2023-10-09
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. . 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. .
How to cite:
Michail Tsagris (2022). PNAR: Poisson Network Autoregressive Models. R package version 1.7, https://cran.r-project.org/web/packages/PNAR. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.0 (2022-06-08 11:20), 1.1 (2022-08-22 21:30), 1.2 (2022-10-05 10:50), 1.3 (2022-11-02 09:52), 1.4 (2023-05-12 09:20), 1.5 (2023-09-15 23:22), 1.6 (2023-10-09 15:40)
Other packages that cited PNAR R package
View PNAR citation profile
Other R packages that PNAR depends, imports, suggests or enhances
Complete documentation for PNAR
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