Package: crumblr
Type: Package
Title: Count ratio uncertainty modeling base linear regression
Version: 1.4.5
Date: 2026-07-20
Authors@R: person("Gabriel", "Hoffman", role=c("aut", "cre"), email="gabriel.hoffman@mssm.edu", comment=c(ORCID="0000-0002-0957-0224"))
Description: 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.
VignetteBuilder: knitr
License: Artistic-2.0
Encoding: UTF-8
URL: https://DiseaseNeurogenomics.github.io/crumblr
BugReports: https://github.com/DiseaseNeurogenomics/crumblr/issues
Suggests: BiocStyle, RUnit, knitr, rmarkdown, dreamlet, muscat,
        ExperimentHub, scater, reshape2, glue, tidyverse, BiocGenerics,
        compositions
biocViews: RNASeq, GeneExpression, DifferentialExpression, BatchEffect,
        QualityControl, SingleCell, Regression, Epigenetics,
        FunctionalGenomics, Transcriptomics, Normalization, Clustering,
        DimensionReduction, Preprocessing, Software
Depends: R (>= 4.4.0), ggplot2, methods
Imports: Rdpack, viridis, tidytree, variancePartition (>= 1.36.3),
        SingleCellExperiment, ggtree, dplyr, stats, MASS, Rfast,
        dirmult
RdMacros: Rdpack
LazyData: false
NeedsCompilation: no
Config/roxygen2/version: 8.0.0
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev make libicu-dev libpng-dev libuv1-dev
        zlib1g-dev
Repository: Bioconductor 3.23
Date/Publication: 2026-07-20 16:02:57 UTC
RemoteUrl: https://github.com/bioc/crumblr
RemoteRef: RELEASE_3_23
RemoteSha: a6f6ed4a1e61293327b93a33ac00564f72a6a09d
Packaged: 2026-07-20 21:03:17 UTC; root
Author: Gabriel Hoffman [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0957-0224>)
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>