return.ts.ng.int.req.df: Return two-sample normal-gamma predictive probability

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

Return two-sample normal-gamma predictive probability

Description

Return two-sample normal-gamma predictive probability

Usage

return.ts.ng.int.req.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 = 1e-04,
  alpha.0.c = 0.25,
  beta.0.c = 1,
  xbar.t = c(1.9, 2, 2.1, 2.05),
  s.t = c(2, 2.1, 1.9, 2.04),
  n.t = c(10, 20, 30, 40),
  xbar.c = c(1, 1.1, 1.5, 1.25),
  s.c = c(1.9, 2, 2.5, 2.25),
  n.c = c(10, 20, 30, 40),
  Delta.lrv = 1.25,
  Delta.tv = 1.75,
  tau.tv = 0.1,
  tau.lrv = 0.8,
  tau.ng = 0.65,
  xbar_ng = NULL,
  xbar_go = NULL,
  go.thresh = 0.8,
  ng.thresh = 0.8,
  n.MC = 1000
)

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
xbar.t	treatment mean
s.t	treatment sd
n.t	treatment sample size
xbar.c	control mean
s.c	control sd
n.c	control sample size
Delta.lrv	TPP Lower Reference Value aka Min TPP
Delta.tv	TPP Target Value aka Base TPP
tau.tv	threshold associated with Base TPP
tau.lrv	threshold associated with Min TPP
tau.ng	threshold associated with No-Go
xbar_ng	Leave NULL to determine what is required or supply a value
xbar_go	Leave NULL to determine what is required or supply a value
go.thresh	If the predictive probability that study will conclude as 'Go' is larger than this threshold: Declare 'Interim go'.
ng.thresh	If the predictive probability that study will conclude as 'No-Go' is larger than this threshold: Declare 'Interim no-go'
n.MC	Monte Carlo simulation size

Value

A dataframe is returned

Examples

holdit <- return.ts.ng.int.req.df()
head(holdit)

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