eNetXplorer (version 1.1.2)

eNetXplorer-package: 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:	1.1.2
Date:	2020-08-25
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.

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

# NOT RUN {
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())
# }