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>.

Getting started

Package details

AuthorJack Wolf [aut, cre] (<https://orcid.org/0000-0002-8919-8740>)
MaintainerJack Wolf <jackwolf910@gmail.com>
LicenseGPL (>= 3)
Version0.3.0
URL https://github.com/jackmwolf/tehtuner
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("tehtuner")

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tehtuner documentation built on April 3, 2023, 5:16 p.m.