return.ts.bin.int.predprob.table: Return two-sample binary predictive probability table

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

Return two-sample binary predictive probability table

Description

Return two-sample binary predictive probability table

Usage

return.ts.bin.int.predprob.table(
  a.con = 0.5,
  b.con = 0.5,
  a.trt = 0.5,
  b.trt = 0.5,
  Delta.lrv = 0.08,
  Delta.tv = 0.08,
  tau.tv = 0.7,
  tau.lrv = 0.7,
  tau.ng = 0,
  n.int.con = 5,
  n.int.trt = 5,
  n.trt = 10,
  n.con = 10,
  p.con = 0.2,
  p.trt = 0.2 + seq(0, 0.5, 0.1),
  studyend = NULL,
  goparallel = FALSE
)

Arguments

a.con	prior alpha parameter for control group
b.con	prior beta parameter for control group
a.trt	prior alpha parameter for treatment group
b.trt	prior alpha parameter for 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
n.int.con	sample size for control group at interim
n.int.trt	sample size for treatment group at interim
n.trt	sample size for control group at interim
n.con	sample size for treatment group at interim
p.con	probability of success for control group
p.trt	probability of success for treatment group
studyend	keep null
goparallel	Option to use parallel computing

Value

A data.frame is returned

Author(s)

Greg Cicconetti

Examples

my.ts.bin.int.predprob.table <- return.ts.bin.int.predprob.table()

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