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codaredistlm

0.1.0

Compositional Data Linear Models with Composition Redistribution

0packages depend
3Kdownloads / year
81.1%test coverage
13/13checks pass

Overview

About
Maintained by Ty StanfordFirst published 2022-12-221 releasesCRAN page ↗GitHub ↗

Provided data containing an outcome variable, compositional variables and additional covariates (optional); linearly regress the outcome variable on an isometric log ratio (ilr) transformation of the linearly dependent compositional variables. The package provides predictions (with confidence intervals) in the change (delta) in the outcome/response variable based on the multiple linear regression model and evenly spaced reallocations of the compositional values. The compositional data analysis approach implemented is outlined in Dumuid et al. (2017a) doi:10.1177/0962280217710835 and Dumuid et al. (2017b) doi:10.1177/0962280217737805.

Install

Health

CRAN checks
13OK
Slowest check: 2.1 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.50
81.1%
Coverage · measured lines
4
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
READMEYes · 873 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
6%

Downloads

3K
CRAN downloads in the past year
Rank #15,442 · ~8/day · ~246/mo
Daily download trend is not available in this view yet.
17530 days
67890 days
3K1 year
Compare downloads with other packages →
Also on125 r2u22 autocran

Repository

Repository
10Stars
1Forks
1Open issues
0Open PRs
0Releases
8Commits
2Contributors
plottingpredictioncodacompositional-data-analysisisometric-log-ratiomultiple-linear-regression
8 commits · Last activity 2023-01-25 · 0% stars, 30d

Stars over time

2024-10-19 · 82026-07-07 · 10

Repository practices

Upstream repositoryBeta

Checks run against github.com/tystan/codaredistlm on 2026-08-16.

No development-tooling practices detected in the upstream repository.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

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

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Author
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2022-12-22
Total releases
1 / 4 yrs
License
GPL-2 OSI
Bundled data
8.7 KB / 2 files
Download size
133 KB
Installed size
not tracked yet
With dependencies
not tracked yet
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("codaredistlm")
Stanford, T., Dumuid, D., & Lund Rasmussen, C. (2022). codaredistlm: Compositional Data Linear Models with Composition Redistribution (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.codaredistlm

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 codaredistlm version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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