R Observatory: Metrics for codalm version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

codalm

0.1.3

Transformation-Free Linear Regression for Compositional Outcomes and Predictors

2packages depend

3.4Kdownloads / year

88.9%test coverage

13/13checks pass

Overview

About

Maintained by Sandipan PramanikFirst published 2020-06-254 releasesCRAN page ↗GitHub ↗

Implements the expectation-maximization (EM) algorithm as described in Fiksel et al. (2022) doi:10.1111/biom.13465 for transformation-free linear regression for compositional outcomes and predictors.

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("codalm", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("jfiksel/codalm")

Development version from jfiksel/codalm. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-codalm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-codalm

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-codalm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 2.1 min · r-devel-windows-x86_64

Code health

Yes

Tests · ratio 0.27

88.9%

Coverage · measured lines

100%

Documentation · exports

3

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

READMEYes · 71 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 67%
Documented parameters: 100%
Return-value docs: 100%
References docs: 33%

Downloads

3.4K

CRAN downloads in the past year

Rank #12,815 · ~9/day · ~284/mo

Releases R versions

Daily download trend is not available in this view yet.

20430 days

78390 days

3.4K1 year

Compare downloads with other packages →

Also on128 r2u12 autocran56 c2d4u

Repository

GitHub ↗ jfiksel/codalm

3Stars

2Forks

2Open issues

0Open PRs

0Releases

30Commits

3Contributors

30 commits · Last activity 2025-12-10

Stars over time

2024-06-28 · 32026-07-07 · 3

Repository practices

Upstream repositoryBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/jfiksel/codalm on 2026-08-16.

Continuous integration (1)

Travis CI

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (3)

SQUAREM future future.apply

LinkingTo (0)

none

Suggests (7)

knitr gtools remotes testthat rmarkdown ggtern ggplot2

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Compositional OrdinalCompositions

Code & Tests

People & History

People (3)

Maintainer (1)

Sandipan Pramanik

Maintainer, Contributor · added in 0.1.3

Authors (1)

Jacob Fiksel

Author

Contributors (2)

Sandipan Pramanik

Maintainer, Contributor · added in 0.1.3

Abhirup Datta

Contributor

Package Timeline

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

R
R 4.6.0 released · 2026-04-24
0.1.3Latest
2025-12-11 · 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
0.1.2
2021-07-26 · diff ↗
0.1.1
2021-06-21 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.0
2020-06-25
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-06-25
Total releases: 4 / 6 yrs
License: GPL-2 OSI
Download size: 13 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("codalm")

Format

Pramanik, S., Datta, A., & Fiksel, J. (2025). codalm: Transformation-Free Linear Regression for Compositional Outcomes and Predictors (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.codalm

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for codalm version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →