plt.sample.space.SM: Sample space for given sequential design.
Description
Plots decision function in S-M space with boundary vectors "a" and "b". If p0 and p1 are
provided then the type 1 and type 2 error are displayed in the main graphic title
Usage
plt.sample.space.SM(n, a, b, p0 = NULL, p1 = NULL)
Arguments
n
Design vector of sample sizes
a
Design vector of lower boundaries
b
Design vector of upper boundaries
p0
Lower benchnmark for success probability
p1
Upper benchnmark for success probability
Value
NULL
References
Lloyd, C.J. (2020) Exact confidence limits after a group sequential single arm binary trial. Statistics in Medicine, Volume 38, 2389-2399. 10.1002/sim.8909
# NOT RUN {# Figure 1 of Lloyd (2020) n=c(5,6,5,9)
a=c(2,4,5,12)
b=c(5,9,11,13)
plt.sample.space.SM(n,a,b)
# produces plots in Figure 1 or reference.# }