R Observatory: Metrics for PNAR version 1.8

Balamuta, James Joseph

PNAR

1.8

Poisson Network Autoregressive Models

0packages depend

3.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Michail TsagrisFirst published 2022-06-089 releasesCRAN page ↗

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

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("PNAR", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-pnar

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-PNAR

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-PNAR

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.0 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

95%

Documentation · exports

9

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 96%

Downloads

3.4K

CRAN downloads in the past year

Rank #7,957 · ~9/day · ~282/mo

Releases R versions

Daily download trend is not available in this view yet.

17230 days

1.2K90 days

3.4K1 year

Compare downloads with other packages →

Also on110 r2u1 autocran

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0

Imports (9)

doParallel foreach igraph nloptrparallelrangen Rfast Rfast2stats

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Michail Tsagris

Author, Maintainer

Authors (3)

Michail Tsagris

Author, Maintainer

Mirko Armillotta

Author, Copyright holder

Konstantinos Fokianos

Author

Copyright holders (1)

Mirko Armillotta

Author, Copyright holder

Package Timeline

9 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
1.8Latest
2026-03-27 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
1.7
2024-09-05 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.6
2023-10-09 · diff ↗
1.5
2023-09-15 · diff ↗
1.4
2023-05-12 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.3
2022-11-02 · diff ↗
1.2
2022-10-05 · diff ↗
1.1
2022-08-22 · diff ↗
1.0
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
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("PNAR")

CRAN DOI

https://doi.org/10.32614/CRAN.package.PNAR

BibTeX, derived from DESCRIPTION

@Manual{PNAR,
  title  = {PNAR: Poisson Network Autoregressive Models},
  author = {Tsagris, Michail and Armillotta, Mirko and Fokianos, Konstantinos},
  year   = {2026},
  note   = {R package version 1.8},
  doi    = {10.32614/CRAN.package.PNAR},
  url    = {https://CRAN.R-project.org/package=PNAR}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryPNAR,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {PNAR} version 1.8},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/PNAR},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for PNAR version 1.8 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/PNAR

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for PNAR version 1.8
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/PNAR
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/PNAR.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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