'IVaps' implements the IV-based method of treatment effect estimation using Approximate Propensity Scores (APS), introduced in Narita and Yata's "Algorithm is Experiment" (forthcoming). This package provides a simple set of functions for APS estimation, treatment effect estimation, and off-policy evaluation, along with some diagnostic tools. The package supports the use of model objects from a wide variety of ML packages in R. Please contact the author if there is not yet support for a model you wish to use.
Package details |
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Maintainer | |
License | file LICENSE |
Version | 0.0.0.9000 |
Package repository | View on GitHub |
Installation |
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