dot-weighted_win_prob: Weighted Mann-Whitney / win-probability estimator
In sbwadjust: Stable Balancing Weights for Covariate Adjustment in Trials
.weighted_win_prob R Documentation
Weighted Mann-Whitney / win-probability estimator
Description
P(Y1 > Y0) + 0.5 P(Y1 = Y0), weighted by SBW weights within each arm.
Finite/uncensored outcomes only.
Usage
.weighted_win_prob(y1, w1, y0, w0)
Arguments
y1, w1
Outcome and weights for the treated arm.
y0, w0
Outcome and weights for the control arm.
Value
Scalar win-probability estimate.
sbwadjust documentation built on Oct. 10, 2026, 5:08 p.m.
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| .weighted_win_prob | R Documentation |
Weighted Mann-Whitney / win-probability estimator
Description
P(Y1 > Y0) + 0.5 P(Y1 = Y0), weighted by SBW weights within each arm.
Finite/uncensored outcomes only.
Usage
.weighted_win_prob(y1, w1, y0, w0)
Arguments
y1, w1 |
Outcome and weights for the treated arm. |
y0, w0 |
Outcome and weights for the control arm. |
Value
Scalar win-probability estimate.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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