one.peeling: Perform peeling one time in predictive case.

In SubgrpID: Patient Subgroup Identification for Clinical Drug Development

Description

Perform peeling one time in predictive case.

Usage

one.peeling(d.inside, d.outside, xvars, alpha, min.size.inside, yvar, censorvar,
  trtvar, g.str, l.str, type, des.res)

Arguments

d.inside	the dataset for subjects in consideration.
d.outside	the dataset for subjects outside consideration.
xvars	the vector of variable names for predictors (covariates).
alpha	a parameter controlling the number of patients in consideration
min.size.inside	desired number of subjects in signature positive group size for a given cutoff.
yvar	the name of response variable.
censorvar	the name of censoring variable (1: event; 0: censor), default = NULL).
trtvar	0-1 coded vector for treatment variable.
g.str	">=".
l.str	"<=".
type	type of response variable: "c" continuous (default); "s" survival; "b" binary.
des.res	the desired response. "larger": prefer larger response (default) "smaller": prefer smaller response.

Value

a data frame enlisting the signature rules (after peeling) ordered by treatment p-values in each group defined by the rules

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