FE.lasso: Perform LASSO for feature selection and create linear...

In EpidemiumOpenCancer/OpenCancer: Build statistical models to understand cancer causes

Description

Perform LASSO for feature selection and create linear regression using selected features

Usage

FE.lasso(df, crossvalidation = T, nfolds = 10, include.intercept = TRUE,
  relabel = F)

Arguments

df	Dataframe
crossvalidation	Should we perform cross-validation
nfolds	Number of folds for cross validation. Ignored if crossvalidation = F. If crossvalidation equals the number of observations, a leave-one-out cross validation is performed
include.intercept	Should LASSO model include a constant?

Value

Linear model fitted with selected features

EpidemiumOpenCancer/OpenCancer documentation built on May 12, 2019, 7:46 a.m.