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NetworkReg

2.0

Generalized Linear Regression Models on Network-Linked Data with Statistical Inference

0packages depend
6.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jianxiang WangFirst published 2020-07-073 releasesCRAN page ↗

Linear regression model and generalized linear models with nonparametric network effects on network-linked observations. The model is originally proposed by Le and Li (2022) doi:10.48550/arXiv.2007.00803 and is assumed on observations that are connected by a network or similar relational data structure. A more recent work by Wang, Le and Li (2024) doi:10.48550/arXiv.2410.01163 further extends the framework to generalized linear models. All these models are implemented in the current package. The model does not assume that the relational data or network structure to be precisely observed; thus, the method is provably robust to a certain level of perturbation of the network structure. The package contains the estimation and inference function for the model.

Install

Health

CRAN checks
13OK
Slowest check: 2.6 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
3
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
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
67%

Downloads

6.2K
CRAN downloads in the past year
Rank #8,802 · ~17/day · ~518/mo
Daily download trend is not available in this view yet.
12930 days
1.1K90 days
6.2K1 year
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Also on97 r2u8 autocran

Dependencies

Declared dependencies
2 external dependencies (excludes base and recommended)
Depends (0)
none
Imports (3)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer · added in 2.0
Authors (3)
Author, Maintainer · added in 2.0
Author · added in 1.1
Author · added in 1.1
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 2.0Latest
    2024-11-01 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.1
    2024-02-08 · diff ↗
  • unarchivedReturned to CRAN
    2024-02-08
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • archivedRemoved from CRAN
    2022-04-18
    requires archived package 'randnet'
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0
    2020-07-07
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-07-07
Total releases
3 / 6 yrs
License
GPL (>= 2) OSI
Download size
6.2 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NetworkReg")
Jianxiang Wang, Can M. Le, & Tianxi Li. (2024). NetworkReg: Generalized Linear Regression Models on Network-Linked Data with Statistical Inference (Version 2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.NetworkReg

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 NetworkReg version 2.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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