Package: tehtuner Title: Fit and Tune Models to Detect Treatment Effect Heterogeneity Version: 0.3.3 Authors@R: person(given = "Jack", family = "Wolf", role = c("aut", "cre"), email = "jackwolf910@gmail.com", comment = c(ORCID = "0000-0002-8919-8740")) Description: Implements methods to fit Virtual Twins models (Foster et al. (2011) ) 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) . License: GPL (>= 3) Encoding: UTF-8 LazyData: true Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Depends: R (>= 3.5.0) Imports: party, glmnet, Rdpack, rpart, stringr, SuperLearner, randomForestSRC, earth, foreach RdMacros: Rdpack Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0) Language: en-US URL: https://github.com/jackmwolf/tehtuner BugReports: https://github.com/jackmwolf/tehtuner/issues Config/testthat/edition: 3 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev libxml2-dev libx11-dev Repository: https://jackmwolf.r-universe.dev Date/Publication: 2025-04-09 23:09:08 UTC RemoteUrl: https://github.com/jackmwolf/tehtuner RemoteRef: HEAD RemoteSha: 3824aedbeaa17bf58c636ab7c7f9a0ea9cca2283 NeedsCompilation: no Packaged: 2026-06-22 08:01:37 UTC; root Author: Jack Wolf [aut, cre] (ORCID: ) Maintainer: Jack Wolf