Fits generalized Qini curves for evaluating treatment allocation policies with one or more mutually exclusive treatment arms. Given estimated conditional treatment effects and treatment costs, 'maq' computes the optimal treatment allocation over a range of budget levels and estimates the resulting policy value using doubly robust or inverse-propensity weighted scores. The underlying optimization exploits the linear multiple-choice knapsack structure of the allocation problem to compute the full solution path efficiently. For details see Sverdrup, Wu, Athey, and Wager (2025) <doi:10.1080/10618600.2024.2418820>.
Package details |
|
|---|---|
| Author | Erik Sverdrup [aut, cre], Han Wu [aut], Susan Athey [aut], Stefan Wager [aut] |
| Maintainer | Erik Sverdrup <erik.sverdrup@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.6.1 |
| URL | https://github.com/grf-labs/maq |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.