selectnew {SuRF.vs}

selectnew

Description

This function is to add new node (new deviance distribution for adding the new variable)

Usage

selectnew(
  vslist,
  ranktable,
  data,
  weights,
  ncores = 1,
  family,
  alpha_l,
  alpha_u,
  C
)

Arguments

ranktable

:ranking table from ranking step

family

:generalized model families

alpha_l

is the minimum significance level(>=0)

data

the dataframe should be arranged in the way such that columns are X1,X2,X3....,Xp, status. Where Xi's are variables and status is the outcome(for the logistic regression, the outcome is in terms of 0/1)

ncores

no of parallel computing cores

C

the number of permutation times

alpha_u

the upper significance level

weights

In a binomial model, weights: =TRUE: if weighted version is desired; =FALSE, otherwise ; In other models,weights: =vector of weights of the same size as the sample size N: if weighted version is desired;=FALSE, otherwise (other generalized model)

vslist

the current list of selected variables

Value

vslist: the updated list of selected variables

dev.dist: deviance distributions used for selecting the new variable

vtlist has 1)alpha.range for the newly selected variable,2)selvar: the newly selected variable name,3)pval: pvalue for the newly selected varaible,and 4)dev: the deviance value contributed by the newly selected variable