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Add doc polish (#93)
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erikcs authored Nov 12, 2024
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2 changes: 1 addition & 1 deletion README.md
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[![CRANstatus](https://www.r-pkg.org/badges/version/maq)](https://cran.r-project.org/package=maq)
[![Build Status](https://dev.azure.com/grf-labs/grf/_apis/build/status/grf-labs.maq?branchName=master)](https://dev.azure.com/grf-labs/grf/_build/latest?definitionId=5&branchName=master)

A package for policy evaluation using generalized Qini curves. Evaluate data-driven treatment targeting rules for one or more treatment arms over different budget constraints. The policy values can be estimated in both experimental or observational settings under unconfoundedness using either inverse-propensity weighting or doubly robust methods.
A package for policy evaluation using generalized Qini curves: Evaluate data-driven treatment targeting rules for one or more treatment arms over different budget constraints in experimental or observational settings under unconfoundedness.

* Introduction: [Qini curves: Automatic cost-benefit analysis.](https://grf-labs.github.io/grf/articles/maq.html)

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6 changes: 2 additions & 4 deletions r-package/maq/DESCRIPTION
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person("Susan", "Athey", role = "aut"),
person("Stefan", "Wager", role = "aut")
)
Description: Policy evaluation using generalized Qini curves. Evaluate data-driven treatment
Description: Policy evaluation using generalized Qini curves: Evaluate data-driven treatment
targeting rules for one or more treatment arms over different budget
constraints. The policy values can be estimated in both experimental or
observational settings under unconfoundedness using either inverse-propensity
weighting or doubly robust methods.
constraints in experimental or observational settings under unconfoundedness.
License: MIT + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
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