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NetworkReg  

Generalized Linear Regression Models on Network-Linked Data with Statistical Inference
View on CRAN: Click here


Download and install NetworkReg package within the R console
Install from CRAN:
install.packages("NetworkReg")

Install from Github:
library("remotes")
install_github("cran/NetworkReg")

Install by package version:
library("remotes")
install_version("NetworkReg", "2.0")



Attach the package and use:
library("NetworkReg")
Maintained by
Jianxiang Wang
[Scholar Profile | Author Map]
First Published: 2020-07-07
Latest Update: 2024-02-08
Description:
Linear regression model with nonparametric network effects on network-linked observations. The model is proposed by Le and Li (2022) 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.
How to cite:
Jianxiang Wang (2020). NetworkReg: Generalized Linear Regression Models on Network-Linked Data with Statistical Inference. R package version 2.0, https://cran.r-project.org/web/packages/NetworkReg. Accessed 22 Feb. 2025.
Previous versions and publish date:
1.0 (2020-07-07 11:00), 1.1 (2024-02-08 22:00)
Other packages that cited NetworkReg R package
View NetworkReg citation profile
Other R packages that NetworkReg depends, imports, suggests or enhances
Complete documentation for NetworkReg
Functions, R codes and Examples using the NetworkReg R package
Full NetworkReg package functions and examples
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