Package: xrnet 1.0.1

Garrett Weaver

xrnet: Hierarchical Regularized Regression

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.

Authors:Garrett Weaver [aut, cre], Dixin Shen [aut], Juan Pablo Lewinger [ctb, ths]

xrnet_1.0.1.tar.gz
xrnet_1.0.1.zip(r-4.7-x86_64)xrnet_1.0.1.zip(r-4.7-arm64)xrnet_1.0.1.zip(r-4.6-x86_64)xrnet_1.0.1.zip(r-4.6-arm64)xrnet_1.0.1.zip(r-4.5-x86_64)
xrnet_1.0.1.tgz(r-4.6-x86_64)xrnet_1.0.1.tgz(r-4.6-arm64)xrnet_1.0.1.tgz(r-4.5-x86_64)xrnet_1.0.1.tgz(r-4.5-arm64)
xrnet_1.0.1.tar.gz(r-4.7-arm64)xrnet_1.0.1.tar.gz(r-4.7-x86_64)xrnet_1.0.1.tar.gz(r-4.6-arm64)xrnet_1.0.1.tar.gz(r-4.6-x86_64)
xrnet_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
xrnet/json (API)

# Install 'xrnet' in R:

install.packages('xrnet', repos = c('https://uscbiostats.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/uscbiostats/xrnet/issues

Pkgdown/docs site:https://uscbiostats.github.io

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

ext_linear - Simulated external data
x_linear - Simulated example data for hierarchical regularized linear regression
y_linear - Simulated outcome data

On CRAN:

cpp

4.65 score 10 stars 1 packages 10 scripts 371 downloads 7 exports 9 dependencies

Last updated from:e171fe7424. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	166
linux-devel-x86_64	OK	200
source / vignettes	OK	222
linux-release-arm64	OK	165
linux-release-x86_64	OK	194
macos-release-arm64	OK	174
macos-release-x86_64	OK	221
macos-oldrel-arm64	OK	149
macos-oldrel-x86_64	OK	321
windows-devel-arm64	OK	265
windows-devel-x86_64	OK	232
windows-release-arm64	OK	262
windows-release-x86_64	OK	211
windows-oldrel-x86_64	OK	172
wasm-release	OK	143

Exports:define_enet define_lasso define_penalty define_ridge tune_xrnet xrnet xrnet_control

Dependencies:BH bigmemory bigmemory.sri codetools foreach iterators Rcpp RcppEigen uuid

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Get coefficient estimates from "tune_xrnet" model object.	coef.tune_xrnet
Get coefficient estimates from "xrnet" model object.	coef.xrnet
Define elastic net regularization object for predictor and external data	define_enet
Define lasso regularization object for predictor and external data	define_lasso
Define regularization object for predictor and external data.	define_penalty
Define ridge regularization object for predictor and external data	define_ridge
Simulated external data	ext_linear
Plot k-fold cross-validation error grid	plot.tune_xrnet
Predict function for "tune_xrnet" object	predict.tune_xrnet
Predict function for "xrnet" object	predict.xrnet
k-fold cross-validation for hierarchical regularized regression	tune_xrnet
Simulated example data for hierarchical regularized linear regression	x_linear
Fit hierarchical regularized regression model	xrnet
Control function for xrnet fitting	xrnet_control
Simulated outcome data	y_linear