Package: tehtuner
Title: Fit and Tune Models to Detect Treatment Effect Heterogeneity
Version: 0.3.0
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) <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>.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.1
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
NeedsCompilation: no
Packaged: 2023-04-01 19:39:56 UTC; Jack
Author: Jack Wolf [aut, cre] (<https://orcid.org/0000-0002-8919-8740>)
Maintainer: Jack Wolf <jackwolf910@gmail.com>
Repository: CRAN
Date/Publication: 2023-04-01 19:50:02 UTC
Built: R 4.6.0; ; 2026-04-30 04:47:55 UTC; unix
