RegressionModelPipeline-package: Pipeline for feature selection, interaction assessment,...
In LewisLabUCSD/RegressionModelPipeline: Pipeline for feature selection, interaction assessment, regression modeling and prediction assessment for 1-1000s of features

MASS, ROCR, data.table, ggplot2, glinternet, glmnet, reshape

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~~ An overview of how to use the package, including the most important functions ~~

Ben Kellman <bkellman@eng.ucsd.edu>

Maintainer: Ben Kellman <bkellman@eng.ucsd.edu>

~~ Literature or other references for background information ~~

~~ Optional links to other man pages, e.g. ~~ ~~ <pkg> ~~

1	~~ simple examples of the most important functions ~~

LewisLabUCSD/RegressionModelPipeline documentation built on Jan. 11, 2021, 10:33 p.m.

LewisLabUCSD/RegressionModelPipeline index

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Description