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PNAR
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]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-08
Latest Update: 2024-09-05
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 08 Jun. 2026.
Previous versions and publish date:
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Other R packages that PNAR depends,
imports, suggests or enhances
Complete documentation for PNAR
Functions, R codes and Examples using
the PNAR R package
Some associated functions: PNAR-package . adja . adja_gnp . crime . crime_W . getN . global_optimise_LM_stnarpq . global_optimise_LM_tnarpq . lin_estimnarpq . lin_ic_plot . log_lin_estimnarpq . log_lin_ic_plot . poisson.MODpq.log . poisson.MODpq.nonlin . poisson.MODpq . poisson.MODpq.stnar . poisson.MODpq.tnar . rcopula . score_test_nonlinpq_h0 . score_test_stnarpq_DV . score_test_stnarpq_j . score_test_tnarpq_j .
Some associated R codes: adja.R . adja_gnp.R . getN.R . global_optimise_LM_stnarpq.R . global_optimise_LM_tnarpq.R . lin_estimnarpq.R . lin_ic_plot.R . log_lin_estimnarpq.R . log_lin_ic_plot.R . poisson.MODpq.R . poisson.MODpq.log.R . poisson.MODpq.nonlin.R . poisson.MODpq.stnar.R . poisson.MODpq.tnar.R . rcopula.R . score_test_nonlinpq_h0.R . score_test_stnarpq_DV.R . score_test_stnarpq_j.R . score_test_tnarpq_j.R . Full PNAR package functions and examples
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