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

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

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

Description

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

Usage

get.ts.ng.ssize.oc.df(
  mu.0.c = 0,
  n.0.c = 1e-04,
  alpha.0.c = 0.25,
  beta.0.c = 1,
  s.c = 4,
  group.c = "Control",
  mu.0.t = 0,
  n.0.t = 1e-04,
  alpha.0.t = 0.25,
  beta.0.t = 1,
  s.t = 4,
  group.t = "Treatment",
  ARatio = 1,
  SS.OC.N.LB = 20,
  SS.OC.N.UB = 200,
  Delta.tv = 1.5,
  Delta.lrv = 1,
  Delta.user = 1.4,
  tau.tv = 0,
  tau.lrv = 0.8,
  tau.ng = 0.75,
  npoints = 1,
  n.MC = 500,
  seed = 1234,
  goparallel = FALSE,
  cl = cl
)

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
s.c	sample sd 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
s.t	sample sd for treatment group
group.t	group label for treatment group
ARatio	randomization ratio
SS.OC.N.LB	lower bound for OC curve
SS.OC.N.UB	Upper bound for OC Curve
Delta.tv	Base TPP
Delta.lrv	Min TPP
Delta.user	User's delta
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
goparallel	logical to use parallel programming
cl	cluster
N	Total sample size

Value

A data.frame is returned

Examples

my.ts.ng.ssize.oc.df <- get.ts.ng.ssize.oc.df()
my.ts.ng.ssize.oc.df

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