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engression

0.1.6

Engression Modelling

0packages depend
3.3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Nicolai MeinshausenFirst published 2023-07-065 releasesCRAN page ↗GitHub ↗

Fits engression models for nonlinear distributional regression. Predictors and targets can be univariate or multivariate. Functionality includes estimation of conditional mean, estimation of conditional quantiles, or sampling from the fitted distribution. Training is done full-batch on CPU (the python version offers GPU-accelerated stochastic gradient descent). Based on "Engression: Extrapolation through the lens of distributional regression" by Xinwei Shen and Nicolai Meinshausen (2024) in JRSSB. Also supports classification (experimental). doi:10.1093/jrsssb/qkae108.

Install

Health

CRAN checks
13OK
Slowest check: 1.5 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
1
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
0%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3.3K
CRAN downloads in the past year
Rank #9,496 · ~9/day · ~273/mo
Daily download trend is not available in this view yet.
15630 days
1K90 days
3.3K1 year
Compare downloads with other packages →
Also on120 r2u10 autocran

Repository

Repository
54Stars
11Forks
0Open issues
0Open PRs
10Releases
114Commits
1Contributors
License BSD-3-Clause · 114 commits · Last activity 2026-07-31 · 0% stars, 30d

Stars over time

2025-08-11 · 352026-07-09 · 54

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/xwshen51/engression on 2026-08-09.

Git structural (1)
.gitattributes
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.6Latest
    2026-04-16 · current release · diff ↗
  • 0.1.5
    2026-01-08 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.4
    2023-11-22 · diff ↗
  • 0.1.3
    2023-09-15 · diff ↗
  • 0.1.1
    2023-07-06
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-07-06
Total releases
5 / 3 yrs
License
MIT + file LICENSE OSI
Download size
8.5 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("engression")
Meinshausen, N., & Shen, X. (2026). engression: Engression Modelling (Version 0.1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.engression

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 engression version 0.1.6 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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