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CAFT

0.1.0

Rank-Based Compositional Analysis using Log-Linear Models for Microbiome Data with Zero Cells

0packages depend
436downloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Mo LiFirst published 2026-06-251 releasesCRAN page ↗GitHub ↗

Provides rank-based compositional differential abundance analysis for microbiome count data with zero cells using the compositional accelerated failure time model of Satten, Li and Zhao (2025) "CAFT: A Compositional Log-Linear Model for Microbiome Data with Zero Cells" doi:10.1101/2025.11.26.690468. Zero counts are treated as censored observations below sample-specific detection limits, avoiding the use of pseudocounts. The package implements estimation and hypothesis testing procedures for assessing associations between microbial taxa and covariates while accounting for the compositional structure of sequencing count data. It supports taxon-level differential abundance analysis, estimation of regression effects under censoring induced by detection limits, and inference based on rank-based methods that remain applicable in the presence of excess zeros. Functions are provided for model fitting, significance testing, extraction of effect estimates, and summarization of results across taxa. The package also provides optional bootstrap calibration of taxon-level p-values for sensitivity analysis in small-taxon settings.

Install

Health

CRAN checks
13OK
Slowest check: 6.9 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
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
  • OK2026-06-26
    7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 274 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
11%

Downloads

436
CRAN downloads in the past year
Rank #23,276 · ~1/day · ~36/mo
Daily download trend is not available in this view yet.
14130 days
43690 days
4361 year
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Repository

Repository
0Stars
0Forks
0Open issues
0Open PRs
1Releases
83Commits
1Contributors
83 commits · Last activity 2026-06-24

Releases over time

2026-06-24 · 12026-07-07 · 1

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/mli171/caft on 2026-08-09.

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 (1)
R >= 4.3.0
LinkingTo (0)
none
Suggests (4)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Contributor, Maintainer, Copyright holder
Authors (3)
Author, Contributor, Maintainer, Copyright holder
Author, Contributor, Copyright holder
Author, Contributor, Copyright holder
Contributors (3)
Author, Contributor, Maintainer, Copyright holder
Author, Contributor, Copyright holder
Author, Contributor, Copyright holder
Copyright holders (3)
Author, Contributor, Maintainer, Copyright holder
Author, Contributor, Copyright holder
Author, Contributor, Copyright holder
Package Timeline

1 release. R releases are shown for context.

  • 0.1.0Latest
    2026-06-25 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-06-25
Total releases
1 / 1 yrs
License
LGPL (>= 2) OSI
Minimum R
≥ 4.3.0
Bundled data
316 KB / 2 files
Download size
not tracked yet
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CAFT")
Li, M., Satten, G. A., & Zhao, N. (2026). CAFT: Rank-Based Compositional Analysis using Log-Linear Models for Microbiome Data with Zero Cells (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.CAFT

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 CAFT version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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