R Observatory: Metrics for codalm version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

codalm

0.1.3Package record

Transformation-Free Linear Regression for Compositional Outcomes and Predictors

0packages dependsuggested by 2

3.3Kdownloads / year

88.9%test coverage

13/13flavors OK

Overview

About

Maintained by Sandipan PramanikCRAN page ↗GitHub ↗Issues ↗

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. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.3

READMEYes · 71 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 0.1.3Citation fileNo

Help pages: 3
Examples that run: 33%1 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 33%

Vignettes (1)

How to use codalm HTML

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #10,509 · ~9/day · ~278/mo

Releases R versions

Daily download trend is not available in this view yet.

37930 days

97490 days

3.3K1 year

Compare downloads with other packages →

Also on104 r2u6 autocran89 c2d4u

How downloads are counted

Repository

jfiksel/codalm ↗Account: jfiksel

3Stars

2Forks

2Open issues

0Open PRs

0Releases

30Commits

3Commit identities

30 commits · Last activity 2025-12-10 · The default branch showed an older version (0.1.1) than CRAN on 2026-10-18

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 5
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2024-06-28 · 32026-07-07 · 3

How these are measured

PracticesBeta

4 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/jfiksel/codalm on 2026-10-18.

Continuous integration (1)

Travis CI (config file)

Docs source (2)

pkgdown

GitHub Pages site last deployed 2025-12-10

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing codalm adds 7 packages (2 with compiled code, 1.4 MB of source tarballs). Heaviest: future 477 KB, parallelly 343 KB, SQUAREM 235 KB.

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

0direct

0indirect

Suggested by 2

Suggests, most downloaded first

Compositional OrdinalCompositions

How these are counted

Code & Tests

People & History

People (3)

Sandipan Pramanik

Maintainer since 0.1.3 (2025), Contributor · added in 0.1.3

Jacob Fiksel

Author

Abhirup Datta

Contributor

Previously maintained by Jacob Fiksel (0.1.0 to 0.1.2).

Releases (4)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.3Latest
record
2025-12-11 · current release · diff ↗ ·
removed 1 export
predict_codalm
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
record
2021-07-26 · diff ↗
0.1.1
record
2021-06-21 · diff ↗ ·
added 1 export
predict_codalm
R
R 4.1.0 released · 2021-05-18
0.1.0
record
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

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 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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for codalm version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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