return.ts.ng.studyend.GNG.hm.df: Return two-sample normal-gamma study end GNG heatmap...

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

Return two-sample normal-gamma study end GNG heatmap data.frame

Description

Return two-sample normal-gamma study end GNG heatmap data.frame

Usage

return.ts.ng.studyend.GNG.hm.df(
  mu.0.c = 0,
  alpha.0.c = 0.25,
  beta.0.c = 1,
  n.0.c = 1,
  mu.0.t = 0,
  alpha.0.t = 0.25,
  beta.0.t = 1,
  n.0.t = 1,
  xbar.c.low = -1,
  xbar.c.high = 1,
  s.c = 4,
  n.c = 40,
  s.t = 4,
  n.t = 40,
  npoints = 15,
  Delta.lrv = 1,
  Delta.tv = 1.5,
  tau.ng = 0.65,
  tau.lrv = 0.8,
  tau.tv = 0.1,
  n.MC = 1000,
  x_ng = NULL,
  x_go = NULL
)

Arguments

mu.0.c	prior mean for control group
alpha.0.c	prior alpha parameter for control group
beta.0.c	prior beta parameter for control group
n.0.c	prior effective sample size parameter for control group
mu.0.t	prior mean for treatment group
alpha.0.t	prior alpha parameter for treatment group
beta.0.t	prior beta parameter for treatment group
n.0.t	prior effective sample size parameter for treatment group
xbar.c.low	lower bound for control group sample mean grid
xbar.c.high	upper bound for control group sample mean grid
s.c	control standard deviation assumed
n.c	control sample size
s.t	treatment standard deviation assumed
n.t	treatment sample size
npoints	number of points to use in simulation
Delta.lrv	TPP Lower Reference Value aka Min TPP
Delta.tv	TPP Target Value aka Base TPP
tau.ng	threshold associated with No-Go
tau.lrv	threshold associated with Min TPP
tau.tv	threshold associated with Base TPP
n.MC	n for MC sampling
x_ng	xbar needed for no-go; leave null for standard rule
x_go	xbar needed for go; leave null for standard rule

Value

A data.frame is returned

Author(s)

Greg Cicconetti

Examples

my.ts.ng.studyend.GNG.hm.df <- return.ts.ng.studyend.GNG.hm.df()
head(my.ts.ng.studyend.GNG.hm.df)

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