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Linear regression model with nonparametric network effects on network-linked observations. The model is proposed by Le and Li (2022) <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.
Package details |
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Author | Tianxi Li [aut, cre], Can M. Le [aut] |
Maintainer | Tianxi Li <tianxili@umn.edu> |
License | GPL (>= 2) |
Version | 1.1 |
Package repository | View on CRAN |
Installation |
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