eNetXplorer-package: explores elastic net families for generalized linear models

In juliancandia/eNetXplorer: Quantitative Exploration of Elastic Net Families for Generalized Linear Models

explores elastic net families for generalized linear models

Description

Provides a quantitative toolkit to explore elastic net families and to uncover correlates contributing to prediction under a cross-validation framework. Fits linear, binomial (logistic), multinomial, and Cox regression models.

Details

Package:	eNetXplorer
Type:	Package
Version:	1.1.3
Date:	2021-11-03
License:	GPL-3

This package provides a full pipeline of analysis: eNetXplorer takes in x, y data to generate a family of elastic net models over a range of alpha values; summary generates a summary of results in tabular format; plot provides a variety of plots to visualize results; summaryPDF generates a report in PDF format; export creates plain text output files for downstream processing; and mergeObj merges eNetXplorer objects with different alpha values.

Author(s)

Julian Candia and John S. Tsang
Maintainer: Julian Candia [e-mail]

References

Candia J and Tsang JS. eNetXplorer: an R package for the quantitative exploration of elastic net families for generalized linear models, BMC Bioinformatics (2019) 20:189.

See Also

eNetXplorer, summary, plot, summaryPDF, export, mergeObj.

Examples

data(QuickStartEx)
fit = eNetXplorer(x=QuickStartEx$predictor,y=QuickStartEx$response,
family="gaussian",n_run=20,n_perm_null=10,seed=111)
summary(fit)
plot(x=fit,plot.type="measuredVsOOB",alpha.index=4)
summaryPDF(x=fit,dest_dir=tempdir())
export(x=fit,dest_dir=tempdir())

juliancandia/eNetXplorer documentation built on May 11, 2023, 1:59 a.m.