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tehtuner  

Fit and Tune Models to Detect Treatment Effect Heterogeneity
View on CRAN: Click here


Download and install tehtuner package within the R console
Install from CRAN:
install.packages("tehtuner")

Install from Github:
library("remotes")
install_github("cran/tehtuner")

Install by package version:
library("remotes")
install_version("tehtuner", "0.3.0")



Attach the package and use:
library("tehtuner")
Maintained by
Jack Wolf
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-07
Latest Update: 2023-04-01
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>.
How to cite:
Jack Wolf (2022). tehtuner: Fit and Tune Models to Detect Treatment Effect Heterogeneity. R package version 0.3.0, https://cran.r-project.org/web/packages/tehtuner. Accessed 04 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:12), 0.1.1 (2022-11-07 19:30)
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Complete documentation for tehtuner
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