Package: aIc
Type: Package
Title: Testing for Compositional Pathologies in Datasets
Version: 1.0
Date: 2022-09-27
Author: Greg Gloor
Maintainer: Greg Gloor <ggloor@uwo.ca>
Description: 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>).
License: GPL (>= 3)
Encoding: UTF-8
URL: https://github.com/ggloor/aIc
BugReports: https://github.com/ggloor/aIc/issues
RoxygenNote: 7.2.1
VignetteBuilder: knitr
Imports: matrixcalc, zCompositions, shiny, edgeR, ALDEx2, vegan
Suggests: BiocStyle, knitr, rmarkdown
Depends: R (>= 3.5.0),
Config/pak/sysreqs: cmake make libjpeg-dev libpng-dev libuv1-dev
        zlib1g-dev
Repository: https://ggloor.r-universe.dev
Date/Publication: 2024-01-18 19:41:42 UTC
RemoteUrl: https://github.com/ggloor/aic
RemoteRef: HEAD
RemoteSha: ada8f7e396ebb275dcd22b2af6123681dd1c8b4e
NeedsCompilation: no
Packaged: 2026-09-27 10:37:18 UTC; root