build.elastic.net.regression: Build elastic net regression

In ProfessionalFarmer/loonR: Common function in bioinformatics analysis

Build elastic net regression

Description

Build elastic net regression

Usage

build.elastic.net.regression(
  df,
  group,
  seed = 666,
  scale = TRUE,
  nfolds = 10,
  summaryFunction = "twoClassSummary"
)

Arguments

seed	Default 666
scale	Default TRUE
nfolds	Default 10. number of folds
summaryFunction	Default twoClassSummary for computes sensitivity, specificity and the area under the ROC curve. Please refer https://www.rdocumentation.org/packages/caret/versions/6.0-90/topics/defaultSummary

Examples

data("LIRI")
reg.res <- loonR::build.elastic.net.regression(LIRI[,3:5],LIRI$status)

ProfessionalFarmer/loonR documentation built on Oct. 9, 2024, 9:56 p.m.