Description Usage Arguments Details Value Author(s) References See Also Examples
This function calculates the parameter that specifies the conditional error function running through a given point (p1,p2), based on a chosen family of conditional error functions.
1 |
typ |
type of test: |
p1 |
the p-value p1 of the test after the first stage |
p2 |
the p-value p2 of the test after the second stage, defaults to |
c |
logical determining whether the parameter alpha2 or the parameter c is returned (alpha2 is the default). |
See parconv
for more information on the two alternative parameterizations by alpha2 and c.
getpar
returns the parameter (either alpha2 or c, depending on the chosen parameterization) that specifies the conditional error function running through (p1,p2).
Marc Vandemeulebroecke
Bauer, P., Koehne, K. (1994). Evaluation of experiments with adaptive interim analyses. Biometrics 50, 1029-1041.
Lehmacher, W., Wassmer, G. (1999). Adaptive sample size calculations in group sequential trials. Biometrics 55, 1286-1290.
Vandemeulebroecke, M. (2006). An investigation of two-stage tests. Statistica Sinica 16, 933-951.
adaptTest
package description, parconv
, CEF
1 2 3 4 5 6 7 | ## Plot the conditional error function of the Lehmacher-Wassmer (1999) type that runs through (p1,p2)=(0.3,0.7)
alpha2 <- getpar(typ="l", p1=0.3, p2=0.7)
plotCEF(typ="l", a2=alpha2, add=FALSE)
## Other ways of doing the same as above
plotCEF(typ="l", p1=0.3, p2=0.7, add=FALSE)
plot(CEF(typ="l", p1=0.3, p2=0.7), xlim=0:1)
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