GNGTools (version 1.0.0)

return.ts.bin.int.predprob.table: 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
)

Value

A data.frame is returned

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

Author

Greg Cicconetti

Examples

# \donttest{
my.ts.bin.int.predprob.table <- return.ts.bin.int.predprob.table()
# }