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regnet  

Network-Based Regularization for Generalized Linear Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("regnet", "1.0.2")



Attach the package and use:
library("regnet")
Maintained by
Jie Ren
[Scholar Profile | Author Map]
First Published: 2017-05-21
Latest Update: 2024-02-22
Description:
Network-based regularization has achieved success in variable selection for high-dimensional biological data due to its ability to incorporate correlations among genomic features. This package provides procedures of network-based variable selection for generalized linear models (Ren et al. (2017) and Ren et al.(2019) ). Continuous, binary, and survival response are supported. Robust network-based methods are available for continuous and survival responses.
How to cite:
Jie Ren (2017). regnet: Network-Based Regularization for Generalized Linear Models. R package version 1.0.2, https://cran.r-project.org/web/packages/regnet. Accessed 23 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-05-21 09:00), 0.1.1 (2017-05-24 00:30), 0.2.0 (2017-10-15 05:08), 0.3.0 (2018-05-22 20:30), 0.4.0 (2019-06-08 16:30), 1.0.0 (2022-08-18 14:40), 1.0.1 (2024-02-22 04:20)
Other packages that cited regnet R package
View regnet citation profile
Other R packages that regnet depends, imports, suggests or enhances
Complete documentation for regnet
Functions, R codes and Examples using the regnet R package
Some associated functions: cv.regnet . plot.regnet . print.cv.regnet . print.regnet . regnet-package . regnet . rgn . 
Some associated R codes: ContCD.R . ContCV.R . LogitCD.R . LogitCV.R . RcppExports.R . SurvCD.R . SurvCV.R . Utilities.R . cv.regnet.R . example.R . plot.regnet.R . print.regnet.R . regnet-package.R . regnet.R .  Full regnet package functions and examples
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