View source: R/return.ss.ng.int.req.r
return.ss.ng.int.req | R Documentation |
Return single sample normal-gamma predictive probability
return.ss.ng.int.req( mu.0.t = 0, n.0.t = 1e-04, alpha.0.t = 0.25, beta.0.t = 1, xbar.t = seq(-5, 5, 0.1), s.t = 2, interim.n.t = c(5, 10, 15, 20, 25, 30, 35), final.n.t = 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 )
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 |
interim.n.t |
interim sample size |
final.n.t |
final sample size |
Delta.lrv |
Min TPP |
Delta.tv |
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 |
xbar for no-go; leave null for standard rule |
xbar_go |
xbar for go; leave null for standard rule |
go.thresh |
go threshold for predictive probability |
ng.thresh |
no-go threshold for predictive probability |
A data.frame is returned
my.ss.ng.int.req <- return.ss.ng.int.req() head(my.ss.ng.int.req)
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