createPermGS: createPermGS

In mbrueckner/permGS: Permutational Group Sequential Test for Time-to-Event Data

Description

Create permGS object representing a permutational group-sequential trial.

Usage

createPermGS(B = 1000, restricted = TRUE, method = "IPZ", pool = TRUE,
  type = c("logrank", "Gehan-Breslow", "Tarone-Ware", "Prentice",
  "Prentice-Marek", "Andersen-Borgan-Gill-Keiding", "Fleming-Harrington",
  "Self"), imputeData = NULL, permuteData = NULL)

Arguments

B	number of random permutations
restricted	if TRUE only permute within strata
method	imputation/permuation method IPZ, IPT, Heinze or none (default: IPZ)
pool	if TRUE impute event times from Kaplan-Meier estimator calculated from pooled data
type	logrank weights to be used with coin::logrank_trafo
imputeData	user-supplied imputation function (ignored if method is given)
permuteData	user-supplied permutation function (ignore if method is given)

Value

object of class permGS

Examples

## standard permutation test (no imputation, free permutations)
x <- createPermGS(1000, FALSE, "none")
summary(x)
## imputation using IPT method, restricted permutations
y <- createPermGS(1000, TRUE, "IPT")
summary(y)

mbrueckner/permGS documentation built on May 22, 2019, 12:57 p.m.