CRAN/E | tehtuner

tehtuner

Fit and Tune Models to Detect Treatment Effect Heterogeneity

Installation

About

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.

Citation tehtuner citation info
github.com/jackmwolf/tehtuner
Bug report File report

Key Metrics

Version 0.3.0
R ≥ 3.5.0
Published 2023-04-01 394 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks tehtuner results
Language en-US

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Maintainer

Maintainer

Jack Wolf

jackwolf910@gmail.com

Authors

Jack Wolf

aut / cre

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

tehtuner archive

Depends

R ≥ 3.5.0

Imports

party
glmnet
Rdpack
rpart
stringr
SuperLearner
randomForestSRC
earth
foreach

Suggests

knitr
rmarkdown
spelling
testthat ≥ 3.0.0