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

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

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
)

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

Value

A data.frame is returned

Author(s)

Greg Cicconetti

Examples

my.ts.ng.trt.oc.df <- get.ts.ng.trt.oc.df(goparallel=FALSE)
head(my.ts.ng.trt.oc.df)

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