Bioc2026 Registration Open!

crumblr

Count ratio uncertainty modeling base linear regression

Bioconductor version: 3.23 · Package version: 1.4.5

Crumblr enables analysis of count ratio data using precision weighted linear (mixed) models. It uses an asymptotic normal approximation of the variance following the centered log ration transform (CLR) that is widely used in compositional data analysis. Crumblr provides a fast, flexible alternative to GLMs and GLMM's while retaining high power and controlling the false positive rate.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("crumblr")

Details

MaintainerGabriel Hoffman <gabriel.hoffman@mssm.edu>
AuthorGabriel Hoffman [aut, cre] (ORCID: <https://orcid.org/0000-0002-0957-0224>)
LicenseArtistic-2.0
URLhttps://DiseaseNeurogenomics.github.io/crumblr
Bug Reportshttps://github.com/DiseaseNeurogenomics/crumblr/issues
Downloads rank300
Source branchRELEASE_3_23
biocViewsBatchEffect, Clustering, DifferentialExpression, DimensionReduction, Epigenetics, FunctionalGenomics, GeneExpression, Normalization, Preprocessing, QualityControl, RNASeq, Regression, SingleCell, Software, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagecrumblr_1.4.5.tar.gz
Windows binary (x86_64)crumblr_1.4.5.zip
macOS binary (arm64)crumblr_1.4.5.tgz
macOS binary (x86_64)crumblr_1.4.5.tgz
Dependencies

Depends: R (>= 4.4.0), ggplot2, methods

Imports: Rdpack, viridis, tidytree, variancePartition (>= 1.36.3), SingleCellExperiment, ggtree, dplyr, stats, MASS, Rfast, dirmult

Suggests: BiocStyle, RUnit, knitr, rmarkdown, dreamlet, muscat, ExperimentHub, scater, reshape2, glue, tidyverse, BiocGenerics, compositions