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personalized2part

0.0.2

Two-Part Estimation of Treatment Rules for Semi-Continuous Data

0packages depend
4.6Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jared HulingFirst published 2020-09-102 releasesCRAN page ↗GitHub ↗

Implements the methodology of Huling, Smith, and Chen (2020) doi:10.1080/01621459.2020.1801449, which allows for subgroup identification for semi-continuous outcomes by estimating individualized treatment rules. It uses a two-part modeling framework to handle semi-continuous data by separately modeling the positive part of the outcome and an indicator of whether each outcome is positive, but still results in a single treatment rule. High dimensional data is handled with a cooperative lasso penalty, which encourages the coefficients in the two models to have the same sign.

Install

Health

CRAN checks
13OK
Slowest check: 4.7 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
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
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 3 earlier snapshots
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 359 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
94%
Return-value docs
17%
References docs
0%

Downloads

4.6K
CRAN downloads in the past year
Rank #7,725 · ~13/day · ~382/mo
Daily download trend is not available in this view yet.
22530 days
1.1K90 days
4.6K1 year
Compare downloads with other packages →
Also on397 r2u32 autocran

Repository

Repository
2Stars
1Forks
0Open issues
0Open PRs
1Releases
109Commits
3Contributors
109 commits · Last activity 2026-01-13

Stars over time

2021-10-25 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/jaredhuling/personalized2part on 2026-08-23.

Continuous integration (2)
GitHub ActionsTravis CI
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
6 external dependencies (excludes base and recommended)
Imports (3)
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.2Latest
    2026-01-13 · 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
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 0.0.1
    2020-09-10
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-09-10
Total releases
2 / 6 yrs
License
GPL (>= 2) OSI
Download size
139 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("personalized2part")
Huling, J. (2026). personalized2part: Two-Part Estimation of Treatment Rules for Semi-Continuous Data (Version 0.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.personalized2part

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for personalized2part version 0.0.2 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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