The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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 ORCID iD [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.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:

Please use the canonical form https://CRAN.R-project.org/package=tehtuner to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.