R Observatory: Metrics for personalized version 0.2.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

personalized

0.2.8

Estimation and Validation Methods for Subgroup Identification and Personalized Medicine

1packages depend

10Kdownloads / year

89.0%test coverage

13/13checks pass

Overview

About

Maintained by Jared HulingFirst published 2017-06-1216 releasesCRAN page ↗GitHub ↗

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.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("personalized", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("jaredhuling/personalized")

Development version from jaredhuling/personalized. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-personalized

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-personalized

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-personalized

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 7.2 min · r-devel-linux-x86_64-debian-clang

Code health

Yes

Tests · ratio 0.44

89.0%

Coverage · measured lines

100%

Documentation · exports

10

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 628 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 97%
Return-value docs: 50%
References docs: 31%

Downloads

10K

CRAN downloads in the past year

Rank #5,670 · ~27/day · ~831/mo

Releases R versions

Daily download trend is not available in this view yet.

27530 days

1.4K90 days

10K1 year

Compare downloads with other packages →

Also on141 r2u24 autocran

Repository

GitHub ↗ jaredhuling/personalized

34Stars

16Forks

2Open issues

0Open PRs

16Releases

639Commits

4Contributors

subgroup-identificationprecision-medicineheterogeneity-of-treatment-effecttreatment-effectstreatment-scoringpersonalized-medicineindividualized-treatment-rulescausal-inference

639 commits · Last activity 2026-01-08 · 0% stars, 30d

Stars over time

2025-01-13 · 322026-07-21 · 34

Repository practices

Upstream repositoryBeta

6 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jaredhuling/personalized on 2026-08-16.

Continuous integration (3)

GitHub ActionsTravis CIAppVeyor

CRAN release process (1)

cran-comments.md

Docs source (1)

README.Rmd

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (4)

glmnetmgcvggplot2 plotly

Imports (6)

survivalmethodskernlab foreach xgboost data.table

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown testthatnnet

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

personalized2part

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Jared Huling

Author, Maintainer

Authors (1)

Jared Huling

Author, Maintainer

Contributors (1)

Aaron Potvien

Contributor · added in 0.1.0

Copyright holders (2)

Alexandros Karatzoglou

Copyright holder · added in 0.2.0

Alex Smola

Copyright holder · added in 0.2.0

Package Timeline

16 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.2.8Latest
2026-01-08 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.2.7
2022-06-27 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.2.6
2021-05-28 · diff ↗
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
0.2.5
2019-11-07 · diff ↗
0.2.4
2019-05-22 · diff ↗
R
R 3.6.0 released · 2019-04-26
0.2.3
2019-02-07 · diff ↗
0.2.2
2018-11-14 · diff ↗
0.2.1
2018-09-19 · diff ↗

Show 10 earlier events

0.2.0
2018-09-18 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.1.5
2018-04-11 · diff ↗
0.1.4
2018-03-09 · diff ↗
0.1.3
2018-01-30 · diff ↗
0.1.2
2017-11-28 · diff ↗
0.1.1
2017-10-25 · diff ↗
0.1.0
2017-09-26 · diff ↗
0.0.2
2017-06-12
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-06-12
Total releases: 16 / 9 yrs
License: GPL-2 OSI
Bundled data: 11 KB / 1 file
Download size: 1.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Appears in task views

Causal Inference

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("personalized")

Format

Huling, J., Karatzoglou, A., Potvien, A., & Smola, A. (2026). personalized: Estimation and Validation Methods for Subgroup Identification and Personalized Medicine (Version 0.2.8) [Computer software]. https://doi.org/10.32614/CRAN.package.personalized

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for personalized version 0.2.8 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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