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xrnet
View on CRAN: Click
here
Download and install xrnet package within the R console
Install from CRAN:
install.packages("xrnet")
Install from Github:
library("remotes")
install_github("cran/xrnet")
Install by package version:
library("remotes")
install_version("xrnet", "1.0.0")
Attach the package and use:
library("xrnet")
Maintained by
Garrett Weaver
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.xrnet . https://github.com/USCbiostats/xrnet/issues . https://github.com/USCbiostats/xrnet . https://uscbiostats.github.io/xrnet/ . xrnet results . xrnet.pdf . xrnet_1.0.0.tar.gz . xrnet_1.0.0.zip . xrnet_1.0.0.zip . xrnet_1.0.0.zip . xrnet_1.0.0.tgz . xrnet_1.0.0.tgz . xrnet_1.0.0.tgz . xrnet_1.0.0.tgz . xrnet_1.0.0.tgz . xrnet_1.0.0.tgz . xrnet archive . https://CRAN.R-project.org/package=xrnet .
First Published: 2020-02-28
Latest Update: 2020-03-01
Description:
Fits hierarchical regularized regression models to incorporate potentially informative external data, Weaver and Lewinger (2019) <doi:10.21105/joss.01761>. Utilizes coordinate descent to efficiently fit regularized regression models both with and without external information with the most common penalties used in practice (i.e. ridge, lasso, elastic net). Support for standard R matrices, sparse matrices and big.matrix objects.
How to cite:
Garrett Weaver (2020). xrnet: Hierarchical Regularized Regression. R package version 1.0.0, https://cran.r-project.org/web/packages/xrnet. Accessed 18 Mar. 2025.
Other packages that cited xrnet R package
View xrnet citation profile
Other R packages that xrnet depends,
imports, suggests or enhances
Complete documentation for xrnet
Functions, R codes and Examples using
the xrnet R package
Some associated functions: coef.tune_xrnet . coef.xrnet . define_enet . define_lasso . define_penalty . define_ridge . ext_linear . plot.tune_xrnet . predict.tune_xrnet . predict.xrnet . tune_xrnet . x_linear . xrnet.control . xrnet . y_linear .
Some associated R codes: RcppExports.R . coef_tune_xrnet.R . coef_xrnet.R . data.R . define_penalty.R . plot_tune_xrnet.R . predict_tune_xrnet.R . predict_xrnet.R . tune_xrnet.R . xrnet.R . Full xrnet package functions and examples
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