personalized: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine

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: 0.2.6
Depends: glmnet (≥ 2.0-13), mgcv, gbm, ggplot2, plotly
Imports: survival, methods, kernlab, foreach
Suggests: knitr, rmarkdown, testthat, nnet
Published: 2021-05-28
Author: Jared Huling ORCID iD [aut, cre], Aaron Potvien [ctb], Alexandros Karatzoglou [cph], Alex Smola [cph]
Maintainer: Jared Huling <jaredhuling at>
License: GPL-2
NeedsCompilation: no
Citation: personalized citation info
Materials: README NEWS
CRAN checks: personalized results


Reference manual: personalized.pdf
Vignettes: Efficiency Augmentation and Propensity Score Construction
Multi-category Treatments with the Personalized Package
Usage of the Personalized Package


Package source: personalized_0.2.6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): personalized_0.2.6.tgz, r-release (x86_64): personalized_0.2.6.tgz, r-oldrel: personalized_0.2.6.tgz
Old sources: personalized archive

Reverse dependencies:

Reverse depends: personalized2part


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