update.dev: update_dev

In SuRF.vs: Subsampling Ranking Forward Selection (SuRF)

Description

This function is to derive the deviance distribution based on the permutation method This function is not to be used independently but will be called by the function selectnew()

Usage

update_dev(data, vslist, C, weights, ncores, family)

Arguments

data	the variable 'data' within seqcutoff()
vslist	a vector of selected variables
C	the number of permutation times
family	family=stats::gaussian(link="identity"));family=stats::binomial(link="logit");family=list(family="cox");etc.
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)
ncores	the number of cores to use for parallel computation

Value

dev: a vector of deviance after C permutations (length OF this vector is C)

SuRF.vs documentation built on Jan. 8, 2022, 9:06 a.m.