# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "crumblr" in publications use:' type: software license: Artistic-2.0 title: 'crumblr: Count ratio uncertainty modeling base linear regression' version: 1.5.0 doi: 10.1101/2025.01.29.635498 identifiers: - type: doi value: 10.32614/CRAN.package.crumblr abstract: 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. authors: - family-names: Hoffman given-names: Gabriel email: gabriel.hoffman@mssm.edu orcid: https://orcid.org/0000-0002-0957-0224 preferred-citation: type: article title: Fast, flexible analysis of differences in cellular composition with crumblr authors: - family-names: Hoffman given-names: Gabriel E. - family-names: Roussos given-names: Panos year: '2025' journal: bioRxiv doi: 10.1101/2025.01.29.635498 repository: https://bioc.r-universe.dev repository-code: https://github.com/DiseaseNeurogenomics/crumblr commit: e19e122585f91c35f04eae524564db0016d4a86e url: https://DiseaseNeurogenomics.github.io/crumblr date-released: '2025-03-11' contact: - family-names: Hoffman given-names: Gabriel email: gabriel.hoffman@mssm.edu orcid: https://orcid.org/0000-0002-0957-0224