computeWeights: Compute Propensity Score Weights
In debiasedTrialEmulation: Pipeline for Debiased Target Trial Emulation
View source: R/utility_functions.R
computeWeights R Documentation
Compute Propensity Score Weights
Description
Computes inverse probability treatment weights (IPTW) for ATE or ATT estimation.
Usage
computeWeights(population, estimator = "ate")
Arguments
population
A data frame containing treatment assignments and propensity scores.
estimator
Type of estimator, either "ate" (average treatment effect) or "att" (average treatment effect on the treated).
Value
A vector of computed weights.
debiasedTrialEmulation documentation built on March 20, 2026, 1:07 a.m.
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View source: R/utility_functions.R
| computeWeights | R Documentation |
Compute Propensity Score Weights
Description
Computes inverse probability treatment weights (IPTW) for ATE or ATT estimation.
Usage
computeWeights(population, estimator = "ate")
Arguments
population |
A data frame containing treatment assignments and propensity scores. |
estimator |
Type of estimator, either "ate" (average treatment effect) or "att" (average treatment effect on the treated). |
Value
A vector of computed weights.
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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