NetworkReg
2.0Generalized Linear Regression Models on Network-Linked Data with Statistical Inference
Overview
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
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 67%
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
People & History
3 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 2.0Latest
- RR 4.4.0 released · 2024-04-24
- 1.12024-02-08 · diff ↗
- unarchivedReturned to CRAN2024-02-08
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- archivedRemoved from CRAN2022-04-18requires archived package 'randnet'
- RR 4.1.0 released · 2021-05-18
- 1.02020-07-07
- RR 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
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Run in R for the authors' preferred citation:
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