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Regularization via L1 norm

Source: R/regularization.R
AverageN2-class.Rd

Implements the L1-norm of the design's stage-two sample size function. The average of the stage-two sample size without weighting with the data distribution is computed. This can be interpreted as integration over a unifrom prior on the continuation region.

Usage

AverageN2(label = NA_character_)

# S4 method for class 'AverageN2,TwoStageDesign'
evaluate(s, design, optimization = FALSE, subdivisions = 10000L, ...)

Arguments

label

object label (string)

s

Score object

design

object

optimization

logical, if TRUE uses a relaxation to real parameters of the underlying design; used for smooth optimization.

subdivisions

number of subdivisions to use for adaptive integration (only affects non-optimization code)

...

further optional arguments

Value

an object of class AverageN2

See also

N1 for penalizing n1 values

Examples

avn2 <- AverageN2()

evaluate(
   AverageN2(),
   TwoStageDesign(100, 0.5, 1.5, 60.0, 1.96, order = 5L)
) # 60
#> [1] 60