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maq (version 0.6.0)

Multi-Armed Qini

Description

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.

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Install

install.packages('maq')

Monthly Downloads

191

Version

0.6.0

License

MIT + file LICENSE

Issues

2

Pull Requests

0

Stars

15

Forks

3

Maintainer

Erik Sverdrup

Last Published

April 14th, 2025

Functions in maq (0.6.0)

average_gain

Get estimate of gain given a spend level.
get_aipw_scores

Construct evaluation scores via augmented inverse-propensity weighting.
integrated_difference

Get estimate of the area between two Qini curves with paired standard errors.
print.maq

Print a maq object.
maq

Fit a multi-armed Qini curve.
difference_gain

Get estimate of difference in gain given a spend level with paired standard errors.
predict.maq

Predict treatment allocation.
plot.maq

Plot the estimated Qini curve.
scale_maq

Scale a Qini curve.
get_ipw_scores

Construct evaluation scores via inverse-propensity weighting.
summary.maq

Qini curve summary.