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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>.
Package details |
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Author | Jack Wolf [aut, cre] (<https://orcid.org/0000-0002-8919-8740>) |
Maintainer | Jack Wolf <jackwolf910@gmail.com> |
License | GPL (>= 3) |
Version | 0.3.0 |
URL | https://github.com/jackmwolf/tehtuner |
Package repository | View on CRAN |
Installation |
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