batting.pred: Main predictive BATTing function

In SubgrpID: Patient Subgroup Identification for Clinical Drug Development

Description

Main predictive BATTing function

Usage

batting.pred(dataset, ids, yvar, censorvar, trtvar, type, class.wt, xvar,
  n.boot, des.res, min.sigp.prcnt)

Arguments

dataset	input dataset in data frame
ids	training indices
yvar	response variable name
censorvar	censoring variable name 1:event; 0: censor.
trtvar	treatment variable name
type	"c" continuous; "s" survival; "b" binary
class.wt	vector of length 2 used to weight the accuracy score , useful when there is class imbalance in binary data defaults to c(1,1)
xvar	name of predictor for which cutpoint needs to be obtained
n.boot	number of bootstraps for BATTing step.
des.res	the desired response. "larger": prefer larger response. "smaller": prefer smaller response.
min.sigp.prcnt	desired proportion of signature positive group size for a given cutoff.

Value

a signature rule consisting of variable name, direction, optimal cutpoint and the corresponding p-value.

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