lasso.select.feature: Feature selection by lasso

In ProfessionalFarmer/loonR: Common function in bioinformatics analysis

Feature selection by lasso

Description

Feature selection by lasso

Usage

lasso.select.feature(
  data.matrix,
  label,
  folds = 5,
  seed = 666,
  family = "binomial",
  type.measure = "auc",
  s = NULL,
  scale = TRUE
)

Arguments

data.matrix	Row is sample
family	Default binomial. Should be one of “gaussian”, “binomial”, “poisson”, “multinomial”, “cox”, “mgaussian”
type.measure	Default auc. Can be class, auc, deviance, mae. “deviance” uses actual deviance. “mae” uses mean absolute error. “class” gives misclassification error. “auc” (for two-class logistic regression ONLY) gives area under the ROC curve.
s	Defalut is lambda.min. User can specify
scale	Default TRUE

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