Stability Assessment of Statistical Learning Methods
Overview
Graphical and computational methods that can be used to assess the stability of results from supervised statistical learning.
- Fix "donttest" examples, broken by
partykit1.3-0. - Import functions selectively, as needed, from
graphicsandpartykitrather than the entire namespaces.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-04
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 18
- Examples that run
- 24%4 run in a plain check · 13 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 93%
- Documented parameters
- 99%
- Return-value docs
- 50%
- Help pages citing references
- 17%
Downloads
Repository
Repository codeberg.org/zeileis/stablelearner is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.
Dependencies
Installing stablelearner adds 20 packages (14 with compiled code, 22 MB of source tarballs). Heaviest: TH.data 8.2 MB, partykit 2.1 MB, Rcpp 1.8 MB.
Code & Tests
Datasets
People & History
Previously maintained by Michel Philipp (0.1-1 to 0.1-3).
Pick two releases to compare their code metrics.
- 0.1-9Latest
- 0.1-82026-07-30 · diff ↗
- RR 4.6.0 released · 2026-04-24
- 0.1-72025-10-27 · diff ↗
- 0.1-62025-07-25 · diff ↗
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1-5
- RR 4.2.0 released · 2022-04-22
- unarchivedReturned to CRAN2022-03-18
- 0.1-42022-03-18 · diff ↗
- archivedRemoved from CRAN2022-03-15check problems were not corrected in time
- RR 4.1.0 released · 2021-05-18
- 0.1-32021-01-10 · diff ↗
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2018-07-10
- Total releases
- 9 / 8 yrs
- License
- GPL-2 | GPL-3 OSI
- Minimum R
- ≥ 3.0.0
- Bundled data
- 38 KB / 1 file
- Download size
- 223 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("stablelearner")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1080/10618600.2018.1473779.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.