filter.glmnet: Flitering using MC glmnet

In SubgrpID: Patient Subgroup Identification for Clinical Drug Development

Description

Flitering using MC glmnet

Usage

filter.glmnet(data, type, yvar, xvars, censorvar, trtvar, trtref, n.boot = 50,
  cv.iter = 20, pre.filter = length(xvars))

Arguments

data	input data frame
type	"c" continuous; "s" survival; "b" binary
yvar	response variable name
xvars	covariates variable name
censorvar	censoring variable name 1:event; 0: censor.
trtvar	treatment variable name
trtref	code for treatment arm
n.boot	number of bootstrap for filtering
cv.iter	number of iterations required for MC glmnet filtering
pre.filter	NULL, no prefiltering conducted;"opt", optimized number of predictors selected; An integer: min(opt, integer) of predictors selected

Value

variables selected after glmnet filtering

SubgrpID documentation built on May 2, 2019, 8:02 a.m.