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 (2020) <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: 1.0
Imports: Matrix, stats, methods, randnet, RSpectra
Published: 2020-07-07
Author: Can M. Le, Tianxi Li
Maintainer: Tianxi Li <tianxili at virginia.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: NetworkReg results

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Reference manual: NetworkReg.pdf
Package source: NetworkReg_1.0.tar.gz
Windows binaries: r-devel: NetworkReg_1.0.zip, r-release: NetworkReg_1.0.zip, r-oldrel: NetworkReg_1.0.zip
macOS binaries: r-release (arm64): NetworkReg_1.0.tgz, r-release (x86_64): NetworkReg_1.0.tgz, r-oldrel: NetworkReg_1.0.tgz

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