GNGTools (version 1.0.0)

get.ts.ng.trt.int.oc.df: Get two-sample normal-gamma interim OC curve data.frame

Description

Get two-sample normal-gamma interim OC curve data.frame

Usage

get.ts.ng.trt.int.oc.df(
  mu.0.t = 0,
  n.0.t = 1e-04,
  alpha.0.t = 0.25,
  beta.0.t = 1,
  mu.0.c = 0,
  n.0.c = 10,
  alpha.0.c = 2.5,
  beta.0.c = 10,
  Delta.lrv = 1.5,
  Delta.tv = 3,
  mu.c = 0.25,
  s.t = 1.5,
  s.c = 1.5,
  npointsLookup = 20,
  npoints = 20,
  n.MC.lookup = 500,
  n.MC = 500,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  n.int.t = c(27, 40),
  n.int.c = c(27, 40),
  final.n.t = 55,
  final.n.c = 55,
  go.thresh = 0.6,
  ng.thresh = 0.6,
  go.parallel = TRUE,
  cl = cl,
  seed = 1234,
  include_nogo = TRUE
)

Value

A data.frame is returned.

Arguments

mu.0.t

prior mean for treatment group

n.0.t

prior effective sample size parameter for treatment group

alpha.0.t

prior alpha parameter for treatment group

beta.0.t

prior beta parameter for treatment group

mu.0.c

prior mean for control group

n.0.c

prior effective sample size parameter for control group

alpha.0.c

prior alpha parameter for control group

beta.0.c

prior beta parameter for control group

Delta.lrv

TPP Lower Reference Value aka Min TPP

Delta.tv

TPP Target Value aka Base TPP

mu.c

assumed mean for control group

s.t

treatment standard deviation

s.c

control standard deviation

npointsLookup

number of points for lookup table

npoints

number of points to run simulations

n.MC.lookup

number of trials used for lookup table

n.MC

number of trials run at each point

tau.tv

threshold associated with Base TPP

tau.lrv

threshold associated with Min TPP

tau.ng

threshold associated with No-Go

n.int.t

interim sample sizes for treatment arm

n.int.c

interim sample sizes for control arm

final.n.t

final sample size: treatment arm

final.n.c

final sample sizE: control arm

go.thresh

interim predictive probability threshold for go

ng.thresh

interim predictive probability threshold for no-go

go.parallel

logical for parallel processing

cl

cl

seed

random seed

include_nogo

logical

Examples

# \donttest{
my.ts.ng.trt.int.oc.df <- get.ts.ng.trt.int.oc.df(npointsLookup = 2, npoints=3, n.MC.lookup=5,
n.MC=5, go.parallel=FALSE)
# }