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Poisson Network Autoregressive Models

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3.8Kdownloads / year
–test coverage
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Overview

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 (2023). "Nonlinear network autoregression". Annals of Statistics, 51(6): 2526--2552. doi:10.1214/23-AOS2345. Armillotta, M. and K. Fokianos (2024). "Count network autoregression". Journal of Time Series Analysis, 45(4): 584--612. doi:10.1111/jtsa.12728. Armillotta, M., Tsagris, M. and Fokianos, K. (2023). "Inference for Network Count Time Series with the R Package PNAR". The R Journal, 15/4: 255--269. doi:10.32614/RJ-2023-094.

Install

Health

CRAN checks
13OK
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.8
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Description cites an R Journal article
Help pages
27includes a package overview page
Examples that run
100%26 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
96%

Downloads

3.8K
CRAN downloads in the past year
Rank #9,739 · ~10/day · ~319/mo
Daily download trend is not available in this view yet.
34430 days
1K90 days
3.8K1 year
Compare downloads with other packages →
Also on80 r2u1 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing PNAR adds 22 packages (15 with compiled code, 29 MB of source tarballs). Heaviest: BH 14 MB, igraph 4.8 MB, nloptr 2.1 MB.

Depends (1)
R >= 4.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0 (2022)
Author, Copyright holder
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.8Latest
    record
    2026-03-27 · current release · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 1.7
    record
    2024-09-05 · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.6
    record
    2023-10-09 · diff ↗
  • 1.5
    record
    2023-09-15 · diff ↗ ·
    added 1 export
    .onAttach
  • 1.4
    record
    2023-05-12 · diff ↗ ·
    added 2 exports
    lin_narpq_init, log_lin_narpq_init
  • R
    R 4.3.0 released · 2023-04-21
  • 1.3
    record
    2022-11-02 · diff ↗ ·
    added 2 exports
    lin_ic_plot, log_lin_ic_plot
  • 1.2
    record
    2022-10-05 · diff ↗
  • 1.1
    record
    2022-08-22 · diff ↗
  • 1.0
    record
    2022-06-08
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-06-08
Total releases
9 / 4 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.0
Bundled data
33 KB / 2 files
Download size
65 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PNAR")
Tsagris, M., Armillotta, M., & Fokianos, K. (2026). PNAR: Poisson Network Autoregressive Models (Version 1.8) [Computer software]. https://doi.org/10.32614/CRAN.package.PNAR

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PNAR version 1.8 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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