From 62496f3e1a3b57a2088703869afbd6e80e7a8c5d Mon Sep 17 00:00:00 2001 From: Erik Sverdrup Date: Tue, 12 Nov 2024 13:40:40 +1100 Subject: [PATCH] Add doc polish (#93) --- README.md | 2 +- r-package/maq/DESCRIPTION | 6 ++---- 2 files changed, 3 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index b38a95c..58e319d 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ [![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) diff --git a/r-package/maq/DESCRIPTION b/r-package/maq/DESCRIPTION index 75e8d75..e04c30b 100644 --- a/r-package/maq/DESCRIPTION +++ b/r-package/maq/DESCRIPTION @@ -7,11 +7,9 @@ Authors@R: c( 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)