model.FElasso: LASSO feature selection and linear regression by group

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

Description

LASSO feature selection and linear regression by group

Usage

model.FElasso(df, groupingvar = NULL, crossvalidation = T, nfolds = 10,
  include.intercept = TRUE)

Arguments

df	Dataframe
groupingvar	Column names of variables used for group. If groupingvar = NULL, observations are ungrouped() and pooled estimation is performed.
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?

linogaliana/OpenCancer documentation built on May 30, 2019, 3:43 p.m.