AUPEC

The unit-level binary treatment receipt variable.

The unit-level continuous score for treatment assignment. We assume those that have tau&lt;0 should
not have treatment. Conditional Average Treatment Effect is one possible measure.

This function estimates AUPEC. The details of the methods for this design are given in Imai and Li (2019).

Evaluation

Provides various statistical methods for
designing and analyzing randomized experiments. One functionality
of the package is the implementation of randomized-block and
matched-pair designs based on possibly multivariate pre-treatment
covariates. The package also provides the tools to analyze various
randomized experiments including cluster randomized experiments,
two-stage randomized experiments, randomized experiments with
noncompliance, and randomized experiments with missing data.

Kosuke Imai

AUPEC: Estimation of the unnormalized Area Under Prescription Evaluation Curve (AUPEC) in Completely Randomized Experiments

Description

Usage

Arguments

Value

References