GNGTools (version 1.0.0)

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

Description

Get two-sample normal-gamma treatment OC data.frame

Usage

get.ts.ng.trt.oc.df(
  mu.0.c = 0,
  n.0.c = 1e-04,
  alpha.0.c = 0.25,
  beta.0.c = 1,
  xbar.c = 0,
  s.c = 4,
  group.c = "Control",
  mu.0.t = 0,
  n.0.t = 1e-04,
  alpha.0.t = 0.25,
  beta.0.t = 1,
  xbar.t = 5,
  s.t = 4,
  group.t = "Treatment",
  Delta.LB = 0,
  Delta.UB = 1.5,
  ARatio = 1,
  N = 50,
  Delta.tv = 1.5,
  Delta.lrv = 1,
  tau.tv = 0.1,
  tau.lrv = 0.65,
  tau.ng = 0,
  npoints = 2,
  n.MC = 500,
  seed = 1234,
  cl = cl,
  goparallel = TRUE
)

Value

A data.frame is returned

Arguments

mu.0.c

prior mean for control group

n.0.c

prior effective sample size for control group

alpha.0.c

prior alpha parameter for control group

beta.0.c

prior beta parameter for control group

xbar.c

sample mean for control group

s.c

sample sd for control group

group.c

label for control group

mu.0.t

prior mean for treatment group

n.0.t

prior effective sample size for treatment group

alpha.0.t

prior alpha parameter for treatment group

beta.0.t

prior beta parameter for treatment group

xbar.t

sample mean for treatment group

s.t

sample sd for treatment group

group.t

label for treatment group

Delta.LB

Lower bound for Delta

Delta.UB

upper bound for delta

ARatio

randomization ratio

N

total sample size

Delta.tv

Base TPP

Delta.lrv

Min TPP

tau.tv

threshold associated with Base TPP

tau.lrv

threshold associated with Min TPP

tau.ng

threshold associated with No-Go

npoints

number of points

n.MC

n for MC sampling

seed

random seed

cl

cluster

goparallel

a logical to indicate if parallel computing is employed

Author

Greg Cicconetti

Examples

# \donttest{
my.ts.ng.trt.oc.df <- get.ts.ng.trt.oc.df(goparallel=FALSE)
head(my.ts.ng.trt.oc.df)
# }