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tramvs

0.0-10Package record

Optimal Subset Selection for Transformation Models

0packages dependsuggested by 1
10.4Kdownloads / year
86.9%test coverage
13/13flavors OK

Overview

About

Greedy optimal subset selection for transformation models (Hothorn et al., 2018, doi:10.1111/sjos.12291 ) based on the abess algorithm (Zhu et al., 2020, doi:10.1073/pnas.2014241117 ). Applicable to models from packages 'tram' and 'cotram'. Application to shift-scale transformation models are described in Siegfried et al. (2024, doi:10.1080/00031305.2023.2203177).

Install

Health

CRAN checks
13OK
Slowest check: 13.2 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-04
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-18
  • ERROR10 OK, 2 WARNING, 2 ERROR2026-03-10
Advisories

none known

Documentation

In release 0.0-10
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
30
Examples that run
100%2 run in a plain check
Exported functions with examples
14%
Documented parameters
88%
Return-value docs
100%
Help pages citing references
3%
Vignettes (1)

Downloads

10.4K
CRAN downloads in the past year
Rank #4,483 · ~29/day · ~870/mo
Daily download trend is not available in this view yet.
70630 days
1.9K90 days
10.4K1 year
Compare downloads with other packages →
Also on106 r2u9 autocran

Repository

PracticesBeta

Repository codeberg.org/lucaskook/tramvs is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing tramvs adds 34 packages (15 with compiled code, 26 MB of source tarballs). Heaviest: TH.data 8.2 MB, tram 2.5 MB, nloptr 2.1 MB.

Depends (2)
R >= 4.2.0tram
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

People & History

People (3)
Author, Maintainer since 0.0-1 (2022)
Contributor
Contributor
Releases (9)

Pick two releases to compare their code metrics.

  • 0.0-10Latest
    record
    2026-10-17 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0-9
    record
    2026-03-11 · diff ↗
  • 0.0-8
    record
    2025-11-18 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • 0.0-7
    record
    2025-01-31 · diff ↗
  • 0.0-6
    record
    2024-09-04 · diff ↗ ·
    added 2 exports
    abess_mmlt, mmltVS
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • unarchivedReturned to CRAN
    2023-03-10
  • 0.0-4
    record
    2023-03-10 · diff ↗
  • archivedRemoved from CRAN
    2023-03-05
    issues were not corrected in time Does not use 'abess' and other suggested packages conditionally
  • 0.0-3
    record
    2022-11-11 · diff ↗
  • unarchivedReturned to CRAN
    2022-08-22
  • 0.0-2
    record
    2022-08-22 · diff ↗ ·
    added 1 export
    cotramVS
  • archivedRemoved from CRAN
    2022-08-17
    issues were not corrected in time
Show 2 earlier eventsHide 2 earlier events
  • 0.0-1
    record
    2022-07-16
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2022-07-16
Total releases
9 / 4 yrs
License
GPL-3 OSI
Minimum R
≥ 4.2.0
Download size
159 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("tramvs")
Kook, L., Hothorn, T., & Siegfried, S. (2026). tramvs: Optimal Subset Selection for Transformation Models (Version 0.0-10) [Computer software]. https://doi.org/10.32614/CRAN.package.tramvs

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 tramvs version 0.0-10 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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