regnetMC-package: regnetMC: Network-Based Regularization for Generalized Linear...
In jrhub/regnetMC: Network-Based Regularization for Generalized Linear Models
regnetMC-package R Documentation
regnetMC: Network-Based Regularization for Generalized Linear Models
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s12863-017-0495-5")} and Ren et al. (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/gepi.22194")}). Two recent additions are the robust network regularization for the survival response and the network regularization for continuous response. Functions for other regularization methods will be included in the forthcoming upgraded versions.
jrhub/regnetMC documentation built on Feb. 20, 2024, 5:36 a.m.
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| regnetMC-package | R Documentation |
regnetMC: Network-Based Regularization for Generalized Linear Models
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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1186/s12863-017-0495-5")} and Ren et al. (2019) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1002/gepi.22194")}). Two recent additions are the robust network regularization for the survival response and the network regularization for continuous response. Functions for other regularization methods will be included in the forthcoming upgraded versions.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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