return.ts.bin.studyend.GNG.hm.df: Return two-sample binary study end GNG heatmap data.frame

In GNGTools: Tools for Go/No-Go Decision-Making Framework

Return two-sample binary study end GNG heatmap data.frame

Description

Return two-sample binary study end GNG heatmap data.frame

Usage

return.ts.bin.studyend.GNG.hm.df(
  a.con = 1,
  b.con = 1,
  n.con = 30,
  a.trt = 1,
  b.trt = 1,
  n.trt = 30,
  Delta.lrv = 0.3,
  Delta.tv = 0.4,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  x_ng = NULL,
  x_go = NULL,
  go.thresh = 0.8,
  ng.thresh = 0.8
)

Arguments

a.con	prior alpha parameter for control group
b.con	prior beta parameter for control group
n.con	sample size for control group
a.trt	prior alpha parameter for treatment group
b.trt	prior beta parameter for treatment group
n.trt	sample size for control treatment group
Delta.lrv	TPP Lower Reference Value aka Min TPP
Delta.tv	TPP Target Value aka Base TPP
tau.tv	threshold associated with Base TPP
tau.lrv	threshold associated with Min TPP
tau.ng	threshold associated with No-Go
x_ng	responses needed for no-go; leave null for standard rule
x_go	responses needed for go; leave null for standard rule
go.thresh	go threshold for predictive probability
ng.thresh	no-go threshold for predictive probability

Value

A data.frame is returned

Examples

my.ts.bin.studyend.GNG.hm.df <- return.ts.bin.studyend.GNG.hm.df()
head(my.ts.bin.studyend.GNG.hm.df)

GNGTools documentation built on Dec. 16, 2022, 5:09 p.m.