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
)
A data.frame is returned
prior parameter, mean, control
prior parameter, precision, alpha, control
prior parameter, precision, beta, control
prior parameter, effective sample size, control
prior parameter, mean, treatment
prior parameter, precision, alpha, treatment
prior parameter, precision, beta, treatment
prior parameter, effective sample size, treatment
lowerbound for xbar on control
upperbound for xbar on control
number of points
sample sd, control
sample size, control
sample mean - treatment
sample sd, treatment
sample size, treatment
TTP info
TTP info
thresholds
thresholds
thresholds
MC size
logical to engage parallel computing
cluster
# \donttest{
make.ts.ng.studyend.criteria(go.parallel=FALSE)
# }
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