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 |
Author: |
Tianxi Li [aut, cre],
Can M. Le [aut] |
Maintainer: |
Tianxi Li <tianxili at umn.edu> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
NeedsCompilation: |
no |
CRAN checks: |
NetworkReg results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=NetworkReg
to link to this page.