NetworkReg: Regression Model on Network-Linked Data with Statistical Inference

Linear regression model with nonparametric network effects on network-linked observations. The model is 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. 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.

Version: 1.1
Imports: Matrix, stats, randnet, RSpectra
Published: 2024-02-08
DOI: 10.32614/CRAN.package.NetworkReg
Author: Tianxi Li [aut, cre], Can M. Le [aut]
Maintainer: Tianxi Li <tianxili at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: NetworkReg results


Reference manual: NetworkReg.pdf


Package source: NetworkReg_1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): NetworkReg_1.1.tgz, r-oldrel (arm64): NetworkReg_1.1.tgz, r-release (x86_64): NetworkReg_1.1.tgz, r-oldrel (x86_64): NetworkReg_1.1.tgz
Old sources: NetworkReg archive


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