computeNPlanBootstrapper: Helper function to compute uncertainty regarding nPlan...

In safestats: Safe Anytime-Valid Inference

Helper function to compute uncertainty regarding nPlan estimates

Description

Helper function to compute uncertainty regarding nPlan estimates

Usage

computeNPlanBootstrapper(
  samplingResult,
  parameter,
  power,
  nPlanBatch,
  nBoot,
  beta = NULL
)

Arguments

samplingResult	output from sampling functions such as computeNPlanSaviZ and computeNPlanSaviT
parameter	numeric > 0, the savi test defining parameter.
power	numeric in (0, 1) that specifies the desirable power necessary to calculate both "n" and the minimum detectable effect size.
nPlanBatch	integer, the sample size needed in a batch design to reach the targeted power=1-beta with tolerable type I error alpha
nBoot	integer > 0 representing the number of bootstrap samples to estimate the uncertainty of various estimates.
beta	numerical in (0,1). Old parameter now replaced by the power parameter

Value

list with bootstrap objects

Examples

samplingResult <- sampleStoppingTimesSaviT(0.7, nSim=10, nMax=20)
result <- computeNPlanBootstrapper(samplingResult, 0.7, 0.2, 20, nBoot=1e2)

safestats documentation built on Sept. 6, 2026, 1:06 a.m.