View source: R/get.ts.ng.studyend.GNG.r
get.ts.ng.studyend.GNG | R Documentation |
Get two-sample normal gamma study end GNG
get.ts.ng.studyend.GNG( 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 = 1.5, s.c = 4, n.c = 40, xbar.t = 26, s.t = 4, n.t = 40, Delta.lrv = 1, Delta.tv = 1.5, tau.ng = 0.65, tau.lrv = 0.8, tau.tv = 0.1, n.MC = 1000 )
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 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 for treatment group |
xbar.c |
sample mean for control group |
s.c |
sample sd for control group |
n.c |
sample size for control group |
xbar.t |
sample mean for treatment group |
s.t |
sample sd for treatment group |
n.t |
sample size of treatment group |
Delta.lrv |
Min TPP |
Delta.tv |
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 |
A list is returned holding what is needed of data to achieve Go/No-Go
Greg Cicconetti
my.ts.ng.studyend.GNG <- get.ts.ng.studyend.GNG() my.ts.ng.studyend.GNG
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