Testing for Compositional Pathologies in Datasets R package aIc version 1.0 CRAN Task View: CompositionalData (https://CRAN.R-project.org/view=CompositionalData) A set of tests for compositional pathologies. Tests for coherence of correlations with aIc.coherent() as suggested by (Erb et al. (2020) <doi:10.1016/j.acags.2020.100026>), compositional dominance of distance with aIc.dominant(), compositional perturbation invariance with aIc.perturb() as suggested by (Aitchison (1992) <doi:10.1007/BF00891269>) and singularity of the covariation matrix with aIc.singular(). Currently tests five data transformations: prop, clr, TMM, TMMwsp, and RLE from the R packages 'ALDEx2', 'edgeR' and 'DESeq2' (Fernandes et al (2014) <doi:10.1186/2049-2618-2-15>, Anders et al. (2013)<doi:10.1038/nprot.2013.099>). Software Depends: R (>= 3.5.0), Imports: matrixcalc, zCompositions, shiny, edgeR, ALDEx2, vegan Suggests: BiocStyle, knitr, rmarkdown Greg Gloor <ggloor@uwo.ca> Comprehensive R Archive Network (CRAN) Greg Gloor GPL (>= 3) 2022-10-04 application/tgz https://CRAN.R-project.org/package=aIc doi:10.32614/CRAN.package.aIc