GNGTools (version 1.0.0)

get.ts.ng.mc.df: Get two-sample normal-gamma MC-based data.frame

Description

Get two-sample normal-gamma MC-based data.frame

Usage

get.ts.ng.mc.df(
  mu.0.c = 0,
  n.0.c = 10,
  alpha.0.c = 0.25 * 4,
  beta.0.c = 1 * 4,
  xbar.c = seq(-3, 3, length.out = 20),
  s.c = 3,
  n.c = 25,
  group.c = "Control",
  mu.0.t = 0,
  n.0.t = 10,
  alpha.0.t = 0.25 * 4,
  beta.0.t = 1 * 4,
  xbar.t = seq(0, 6, length.out = 20),
  s.t = 2,
  n.t = 25,
  group.t = "Treatment",
  Delta.tv = 1.75,
  Delta.lrv = 1.5,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0,
  n.MC = 1000,
  seed = 1234,
  expand = 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

n.c

sample size for control group

group.c

group 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

n.t

sample size for treatment group

group.t

group label for treatment group

Delta.tv

TPP Target Value aka Base TPP

Delta.lrv

TPP Lower Reference Value aka Min TPP

tau.tv

threshold associated with Base TPP

tau.lrv

threshold associated with Min TPP

tau.ng

threshold associated with No-Go

n.MC

number of MC sampling

seed

random seed

expand

logical; if true expand.grid is employed; else data.frame is employed. Former provides all combinations

Examples

my.ts.ng.mc.df <- get.ts.ng.mc.df()
my.ts.ng.mc.df