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>.
| Version: | 0.3.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | party, glmnet, Rdpack, rpart, stringr, SuperLearner, randomForestSRC, earth, foreach |
| Suggests: | knitr, rmarkdown, spelling, testthat (≥ 3.0.0) |
| Published: | 2023-04-01 |
| DOI: | 10.32614/CRAN.package.tehtuner |
| Author: | Jack Wolf  [aut,
cre] |
| Maintainer: | Jack Wolf <jackwolf910 at gmail.com> |
| BugReports: | https://github.com/jackmwolf/tehtuner/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/jackmwolf/tehtuner |
| NeedsCompilation: | no |
| Language: | en-US |
| Citation: | tehtuner citation info |
| Materials: | README, NEWS |
| CRAN checks: | tehtuner results |
Documentation:
| Reference manual: | tehtuner.html , tehtuner.pdf |
Downloads:
| Package source: | tehtuner_0.3.0.tar.gz |
| Windows binaries: | r-devel: tehtuner_0.3.0.zip, r-release: tehtuner_0.3.0.zip, r-oldrel: tehtuner_0.3.0.zip |
| macOS binaries: | r-release (arm64): tehtuner_0.3.0.tgz, r-oldrel (arm64): tehtuner_0.3.0.tgz, r-release (x86_64): tehtuner_0.3.0.tgz, r-oldrel (x86_64): tehtuner_0.3.0.tgz |
| Old sources: | tehtuner archive |
Linking:
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