Package: crumblr
Type: Package
Title: Count ratio uncertainty modeling base linear regression
Version: 0.99.11
Date: 2024-06-14
Authors@R: person("Gabriel", "Hoffman", role=c("aut", "cre"), email="gabriel.hoffman@mssm.edu")
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, flexable 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,
    knitr,
    rmarkdown,
    dreamlet,
    muscat,
    ExperimentHub,
    scater,
    HMP,
    BiocGenerics
biocViews: 
    RNASeq,
    GeneExpression,
    DifferentialExpression,
    BatchEffect,
    QualityControl,
    SingleCell,
    Regression,
    Epigenetics,
    FunctionalGenomics,
    Transcriptomics,
    Normalization,
    Preprocessing,
    Software
Depends:
    R (>= 4.2.0),
    ggplot2,
    methods
Imports:
    Rdpack,
    viridis,
    tidytree,
    variancePartition (>= 1.35.3),
    SingleCellExperiment,
    ggtree,
    dplyr,
    stylo,
    stats,
    MASS,
    Rfast
RoxygenNote: 7.3.1
RdMacros: Rdpack
LazyData: false
