View source: R/get.ss.bin.int.GNG.r
get.ss.bin.int.GNG | R Documentation |
Get single sample binary interim Go-NoGo
get.ss.bin.int.GNG(ss.bin.int.df, Interims = 20, ss.bin.studyend.GNG)
ss.bin.int.df |
output from get.ss.bin.interim.df |
Interims |
vector of sample sizes at which interims will occur |
ss.bin.studyend.GNG |
output from call to get.ss.bin.studyend.GNG |
A tibble is returned holding the min and max needed for Go and No-Go resp.
{ my.ss.bin.int.df <- get.ss.bin.int.df(ss.bin.studyend.GNG = get.ss.bin.studyend.GNG(a.trt = 1, b.trt = 1, n.trt = 40, x.trt = 9, Delta.lrv = .2, Delta.tv = .35, tau.tv = 0.10, tau.lrv = .80, tau.ng = .65), goThreshold = .8, nogoThreshold = 1.2, include_nogo = TRUE) my.ss.bin.studyend.GNG <- get.ss.bin.studyend.GNG(a.trt = 1, b.trt = 1, n.trt = 40, x.trt = 9, Delta.lrv = .2, Delta.tv = .35, tau.tv = 0.10, tau.lrv = .80, tau.ng = .65) my.ss.bin.int.GNG <- get.ss.bin.int.GNG( ss.bin.int.df = my.ss.bin.int.df, Interims = 20, ss.bin.studyend.GNG = my.ss.bin.studyend.GNG) }
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