CEF {adaptTest}R Documentation

Function to specify a conditional error function

Description

This function returns a conditional error function.

Usage

CEF(typ = NA, fun = NA, dis = NA, a2 = NA, c = NA, p1 = NA, p2 = p1)

Arguments

typ

type of test: "b" for Bauer and Koehne (1994), "l" for Lehmacher and Wassmer (1999), "v" for Vandemeulebroecke (2006) and "h" for the horizontal conditional error function

c

the parameter c

a2

\alpha_2, the local level of the test after the second stage

p1

the p-value p_1 of the test after the first stage

p2

the p-value p_2 of the test after the second stage, defaults to p1

fun

a conditional error function

dis

a distortion method for a supplied conditional error function (see details): "pl" for power lines, "vt" for vertical translation

Details

There are two alternative ways of specifying the desired conditional error function:

Most people will only need the first of these two ways; the second leads to user-defined non-standard tests.

If typ is specified, a parameter a2 or c or the point (p1,p2) must be provided. In this case, CEF returns the conditional error function of the chosen type with the given parameter or running through the given point.

If typ is not specified, a conditional error function (i.e., a nonincreasing function defined on [0,1] with values in [0,1]) fun must be provided. If no distortion method is selected (dis = NA), fun is returned unchanged. Otherwise, the function is distorted using the chosen distortion method, either to match a desired second stage level a2 or to run through a specified point (p1,p2) (one of which must be provided). Currently, two distortion methods are implemented:

See parconv for more information on the two alternative parameterizations by \alpha_2 and c.

Value

These functions return a conditional error function (see details).

Note

Provide either typ or fun, not both! If typ is provided, then also specify a2, c, or p1 (and possibly p2). If fun is provided, then also specify dis and a2, or dis and p1 (and possibly p2), or none of these.

Warning: Values of a2 close to 0 or 1 may not work for dis = "pl".

Note that in this implementation of adaptive two-stage tests, early stopping bounds are not part of the conditional error function. Rather, they are specified separately (see also tsT).

Author(s)

Marc Vandemeulebroecke

References

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.

See Also

adaptTest package description, parconv, plotCEF, tsT

Examples

## Plot two conditional error functions of the Lehmacher-Wassmer (1999) type:
## one to the local level alpha2=0.1, and one that runs through (p1,p2)=(0.3,0.7)
foo1 <- CEF(typ="l", a2=0.1)
foo2 <- CEF(typ="l", p1=0.3, p2=0.7)
plot(foo1, xlim=0:1)
plot(foo2, add=TRUE)

## A different way of doing the same
plotCEF(typ="l", a2=0.1, add=FALSE)
plotCEF(typ="l", p1=0.3, p2=0.7, plt.pt=FALSE)

[Package adaptTest version 1.2 Index]