getVar: Get min, mid or max model from Elastic Net modelling

In MUVR2: Multivariate Methods with Unbiased Variable Selection

Get min, mid or max model from Elastic Net modelling

Description

Obtain the min, mid, or max number of variables for an object generated from the rdCVnet() function.

Usage

getVar(
  rdCVnetObject,
  option = c("quantile", "fitness"),
  fit_curve = c("loess", "gam"),
  span = 1,
  k = 5,
  outlier = c("none", "IQR", "residual"),
  robust = 0.05,
  quantile = 0.25
)

Arguments

rdCVnetObject	an object obtained from the rdCVnet() function
option	quantile or fitness: which way to perform variable selection
fit_curve	gam or loess method for fitting the curve in the fitness option
span	parameter for using loess to fit curve in the fitness option: how smooth the curve needs to be
k	parameter for using gam to fit curve in the fitness option
outlier	if remove outlier variables or not. There are 3 options: "none","IRQ", "residual"
robust	if the option is fitness, robust parameter decides how much deviation it is allowed from the optimal perdiction performance for min and max variabel selection
quantile	if the option is quantile, this value decides the cut for the first quantile, ranging from 0 to 0.5

Value

a rdCVnet object

Examples

data("mosquito")
nRep <- 2
nOuter <- 4
varRatio <-0.6
classModel <- MUVR2_EN(X = Xotu,
                       Y = Yotu,
                       nRep = nRep,
                       nOuter = nOuter,
                       DA = TRUE,
                       modReturn = TRUE)
classModel<-getVar(classModel)

MUVR2 documentation built on Sept. 16, 2024, 9:06 a.m.