View source: R/make.ts.ng.studyend.criteria.r
make.ts.ng.studyend.criteria | R Documentation |
Create lookup table for study-end
make.ts.ng.studyend.criteria( 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.LB = 0, xbar.c.UB = 5, npoints = 6, s.c = 7, n.c = 55, xbar.t = 0, s.t = 7, n.t = 55, Delta.lrv = 5.5, Delta.tv = 6.5, tau.ng = 0.65, tau.lrv = 0.8, tau.tv = 0.1, n.MC = 250, go.parallel = TRUE, cl = cl )
mu.0.c |
prior parameter, mean, control |
alpha.0.c |
prior parameter, precision, alpha, control |
beta.0.c |
prior parameter, precision, beta, control |
n.0.c |
prior parameter, effective sample size, control |
mu.0.t |
prior parameter, mean, treatment |
alpha.0.t |
prior parameter, precision, alpha, treatment |
beta.0.t |
prior parameter, precision, beta, treatment |
n.0.t |
prior parameter, effective sample size, treatment |
xbar.c.LB |
lowerbound for xbar on control |
xbar.c.UB |
upperbound for xbar on control |
npoints |
number of points |
s.c |
sample sd, control |
n.c |
sample size, control |
xbar.t |
sample mean - treatment |
s.t |
sample sd, treatment |
n.t |
sample size, treatment |
Delta.lrv |
TTP info |
Delta.tv |
TTP info |
tau.ng |
thresholds |
tau.lrv |
thresholds |
tau.tv |
thresholds |
n.MC |
MC size |
go.parallel |
logical to engage parallel computing |
cl |
cluster |
A data.frame is returned
make.ts.ng.studyend.criteria(go.parallel=FALSE)
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