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complmrob

0.7.1Package record

Robust Linear Regression with Compositional Data as Covariates

0packages depend
3.4Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Robust regression methods for compositional data. The distribution of the estimates can be approximated with various bootstrap methods. These bootstrap methods are available for the compositional as well as for standard robust regression estimates. This allows for direct comparison between them.

Install

Health

CRAN checks
13OK
Slowest check: 1.7 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • WARNING12 OK, 1 WARNING2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.7.1
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
10
Examples that run
100%6 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
30%

Downloads

3.4K
CRAN downloads in the past year
Rank #9,221 · ~9/day · ~285/mo
Daily download trend is not available in this view yet.
36330 days
1.1K90 days
3.4K1 year
Compare downloads with other packages →
Also on106 r2u7 autocran134 c2d4u

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2019-09-17 · The default branch showed an older version (0.7.0) than CRAN on 2026-10-21
Responsiveness
not measured
PracticesBeta

Checks run against github.com/dakep/complmrob on 2026-10-21.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)

Installing complmrob adds 19 packages (8 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, robustbase 2.2 MB, isoband 1.5 MB.

Depends (0)
none
Imports (5)
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 0.5.4 (2014)
Releases (8)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.7.1Latest
    record
    2025-04-14 · 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
  • R
    R 4.0.0 released · 2020-04-24
  • 0.7.0
    record
    2019-09-17 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.6.2
    record
    2019-04-13 · diff ↗ ·
    removed 1 export
    predictdf.complmrob.part
  • R
    R 3.5.0 released · 2018-04-23
  • R
    R 3.4.0 released · 2017-04-21
  • R
    R 3.3.0 released · 2016-05-03
  • 0.6.1
    record
    2015-10-18 · diff ↗
  • R
    R 3.2.0 released · 2015-04-16
Show 5 earlier eventsHide 5 earlier events

Package metadata

First published
2014-08-13
Total releases
8 / 12 yrs
License
GPL (>= 2) OSI
Download size
18 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("complmrob")
Kepplinger, D. (2025). complmrob: Robust Linear Regression with Compositional Data as Covariates (Version 0.7.1) [Computer software]. https://doi.org/10.32614/CRAN.package.complmrob

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 complmrob version 0.7.1 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

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.

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