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Calculates propensity score weights for multiple causal 'estimands' across binary, continuous, and categorical exposures. Provides methods for handling extreme propensity scores through trimming, truncation, and calibration. Includes inverse probability weighted estimators that correctly account for propensity score estimation uncertainty.
Package details |
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| Author | Malcolm Barrett [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-0299-5825>) |
| Maintainer | Malcolm Barrett <malcolmbarrett@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.0 |
| URL | https://r-causal.github.io/propensity/ https://github.com/r-causal/propensity |
| Package repository | View on CRAN |
| Installation |
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