prim.train.prog.once: Apply PRIM one time on the training data for a fixed value of...

In SubgrpID: Patient Subgroup Identification for Clinical Drug Development

Description

this function applies the prim procedure (peeling, pasting, and dropping operations) on training data one time.

Usage

prim.train.prog.once(data, yvar, censorvar, xvars, type, des.res, alpha = 0.1,
  min.size.inside = 20, pidx.train.test)

Arguments

data	input data frame
yvar	name for response variable
censorvar	name for censoring (1: event; 0: censor), default = NULL
xvars	vector of variable names for predictors (covariates)
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
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.
pidx.train.test	training and test data index as obtained from create.training.dataset.index

Value

a list containing signature rules and test result based on the signatures.

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