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High Resolution Treatment Effects Estimation: Uncovering Effect Heterogeneities with the Modified Causal Forest
There is great demand for inferring causal effect heterogeneity and for open-source statistical software, which is readily available for practitioners. The mcf package is an open-source Python package that implements Modified Causal Forest (mcf), a causal machine learner. We replicate three well-kno...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407165/ https://www.ncbi.nlm.nih.gov/pubmed/36010703 http://dx.doi.org/10.3390/e24081039 |