simulate-TwoStageDesign-numeric-method: Draw samples from a two-stage design

In kkmann/adoptr: Adaptive Optimal Two-Stage Designs in R

Draw samples from a two-stage design

Description

simulate allows to draw samples from a given TwoStageDesign.

Usage

## S4 method for signature 'TwoStageDesign,numeric'
simulate(object, nsim, dist, theta, seed = NULL, ...)

Arguments

object	TwoStageDesign to draw samples from
nsim	number of simulation runs
dist	data distribution
theta	location parameter of the data distribution
seed	random seed
...	further optional arguments

Value

simulate() returns a data.frame with nsim rows and for each row (each simulation run) the following columns

• theta The effect size

• n1 First-stage sample size

• c1f Stopping for futility boundary

• c1e Stopping for efficacy boundary

• x1 First-stage outcome

• n2 Resulting second-stage sample size after observing x1

• c2 Resulting second-stage decision-boundary after observing x1

• x2 Second-stage outcome

• reject Decision whether the null hypothesis is rejected or not

See Also

TwoStageDesign

Examples

design <- TwoStageDesign(25, 0, 2, 25, 2, order = 5)
# draw samples assuming two-armed design
simulate(design, 10, Normal(), .3, 42)

kkmann/adoptr documentation built on Feb. 3, 2024, 6:55 p.m.