computeConfidenceBoundsForDifferenceTwoProportions: Estimate Lower and Upper Bounds on the Confidence Sequence...

In safestats: Safe Anytime-Valid Inference

Estimate Lower and Upper Bounds on the Confidence Sequence (Interval) for the Difference Divergence Measure for Two Proportions

Description

Estimate Lower and Upper Bounds on the Confidence Sequence (Interval) for the Difference Divergence Measure for Two Proportions

Usage

computeConfidenceBoundsForDifferenceTwoProportions(
  ya,
  yb,
  precision,
  safeDesign
)

Arguments

ya	positive observations/ events per data block in group a: a numeric with integer values between (and including) 0 and na, the number of observations in group a per block.
yb	positive observations/ events per data block in group b: a numeric with integer values between (and including) 0 and nb, the number of observations in group b per block.
precision	precision of the grid of differences to search over for the lower and upper bounds.
safeDesign	a 'safeDesign' object obtained through designSafeTwoProportions

Value

list with found lower and upper bound.

Examples

balancedSafeDesign <- designSafeTwoProportions(na = 1,
                                               nb = 1,
                                               nBlocksPlan = 10,
                                               alpha = 0.05)
ya <- c(1,1,1,1,1,1,1,1,0,1)
yb <- c(0,0,0,0,1,0,0,0,0,0)
computeConfidenceBoundsForDifferenceTwoProportions(ya = ya,
                                               yb = yb,
                                               precision = 20,
                                               safeDesign = balancedSafeDesign)

safestats documentation built on Nov. 24, 2022, 5:07 p.m.