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

0packages depend
1.2Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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: 6.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK7 OK2026-06-26
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 274 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
9
Examples that run
100%7 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
11%

Downloads

1.2K
CRAN downloads in the past year
Rank #13,475 · ~3/day · ~102/mo
Daily download trend is not available in this view yet.
26130 days
86490 days
1.2K1 year
Compare downloads with other packages →
Also on32 r2u6 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
1Releases
83Commits
1Commit identities
83 commits · Last activity 2026-06-24 · Default branch at 0.1.1, ahead of CRAN 0.1.0 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
not measured
Median days to close, 50 most recently updated closed issues
26
Median days to close, 50 most recently updated closed PRs
not measured

Releases over time

2026-06-24 · 12026-07-07 · 1
PracticesBeta

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

Checks run against github.com/mli171/caft on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing CAFT adds 47 packages (24 with compiled code, 37 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, survey 2.3 MB.

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

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Contributor, Maintainer since 0.1.0 (2026), Copyright holder
Author, Contributor, Copyright holder
Author, Contributor, Copyright holder
Releases (1)
  • 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
411 KB

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 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 CAFT version 0.1.0 [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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