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CLAST (version 1.0.1)

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

Examples

Run this code
# 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.
# }

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