doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies and is described in detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.">

personalized: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (original) (raw)

Provides functions for fitting and validation of models for subgroup identification and personalized medicine / precision medicine under the general subgroup identification framework of Chen et al. (2017) <doi:10.1111/biom.12676>. This package is intended for use for both randomized controlled trials and observational studies and is described in detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.

Version: 0.2.7
Depends: glmnet (≥ 2.0-13), mgcv, ggplot2, plotly
Imports: survival, methods, kernlab, foreach, xgboost
Suggests: knitr, rmarkdown, testthat, nnet
Published: 2022-06-27
DOI: 10.32614/CRAN.package.personalized
Author: Jared Huling ORCID iD [aut, cre], Aaron Potvien [ctb], Alexandros Karatzoglou [cph], Alex Smola [cph]
Maintainer: Jared Huling
BugReports: https://github.com/jaredhuling/personalized/issues
License: GPL-2
URL: https://jaredhuling.org/personalized/,https://arxiv.org/abs/1809.07905
NeedsCompilation: no
Citation: personalized citation info
Materials: README NEWS
In views: CausalInference
CRAN checks: personalized results

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