tehtuner
Fit and Tune Models to Detect Treatment Effect Heterogeneity
Implements methods to fit Virtual Twins models (Foster et al. (2011) doi:10.1002/sim.4322) for identifying subgroups with differential effects in the context of clinical trials while controlling the probability of falsely detecting a differential effect when the conditional average treatment effect is uniform across the study population using parameter selection methods proposed in Wolf et al. (2022) doi:10.1177/17407745221095855.
- Version0.3.0
- R version≥ 3.5.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- tehtuner citation info
- Last release04/01/2023
Documentation
Team
Jack Wolf
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- Imports9 packages
- Suggests4 packages