Package: crumblr
Type: Package
Title: Count ratio uncertainty modeling base linear regression
Version: 1.2.0
Date: 2025-03-11
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, HMP, 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
RoxygenNote: 7.3.2
RdMacros: Rdpack
LazyData: false
NeedsCompilation: no
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev make libicu-dev libpng-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2025-10-29 15:35:21 UTC
RemoteUrl: https://github.com/bioc/crumblr
RemoteRef: RELEASE_3_22
RemoteSha: 7537bb36fa9e8caa25c5cf593ccc5e0a2248578f
Packaged: 2025-11-11 13:52:59 UTC; root
Author: Gabriel Hoffman [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-0957-0224>)
Maintainer: Gabriel Hoffman <gabriel.hoffman@mssm.edu>
Built: R 4.5.2; ; 2025-11-11 14:00:35 UTC; windows
