checkMonoDCF: Check the monotonicity of the sample space ordering.

In arsenionhacolo/InferenceBEAGSD: Inference for Binary Endpoint Adaptive Group-Sequential Designs

Description

checkMonoDCF checks the monotonicity of the sample space ordering defined based on inverse normal combination function (see Nhacolo and Brannath, 2018).

Usage

checkMonoDCF(d, verbose = TRUE)

Arguments

d	Dataframe containing one of the designs in EKOADwn.
verbose	If TRUE (default) messages about monotonicity will be printed.

Details

The monotonicity is with respect to the stage 2 number of successes.

Value

A list containing a dataframe (mono) with detailed info, and a logical variable notmono indicating wether non-monotonicity was concluded.

Author(s)

Arsenio Nhacolo

References

Nhacolo, A. and Brannath, W. Interval and point estimation in adaptive Phase II trials with binary endpoint. Stat Methods Med Res, 2018.

Examples

## Not run: 
#Check for all Englert and Kieser designs
notmov <- c()
for (i in 1:max(EKOADwn$id)){
  notmov <- c(notmov,checkMonoDCF(EKOADwn[EKOADwn$id==1,],verbose=FALSE)[[2]])
}
isMonotone <- !any(notmov);isMonotone

## End(Not run)

arsenionhacolo/InferenceBEAGSD documentation built on May 9, 2019, 4:10 a.m.