equal_propensity_estimator: Learner that estimates equal propensity for all treatments.
In iai: Interface to 'Interpretable AI' Modules
View source: R/rewardestimation.R
equal_propensity_estimator R Documentation
Learner that estimates equal propensity for all treatments.
Description
For use with data from randomized experiments where treatments are known to
be randomly assigned.
Usage
equal_propensity_estimator(...)
Arguments
...
Use keyword arguments to set parameters on the resulting learner.
Refer to the Julia documentation for available parameters.
Details
Julia Equivalent:
IAI.EqualPropensityEstimator
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: lnr <- iai::equal_propensity_estimator()
iai documentation built on Oct. 19, 2024, 1:07 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
View source: R/rewardestimation.R
| equal_propensity_estimator | R Documentation |
Learner that estimates equal propensity for all treatments.
Description
For use with data from randomized experiments where treatments are known to be randomly assigned.
Usage
equal_propensity_estimator(...)
Arguments
... |
Use keyword arguments to set parameters on the resulting learner. Refer to the Julia documentation for available parameters. |
Details
Julia Equivalent:
IAI.EqualPropensityEstimator
IAI Compatibility
Requires IAI version 2.1 or higher.
Examples
## Not run: lnr <- iai::equal_propensity_estimator()
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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