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),
NeedsCompilation: no
Packaged: 2022-10-04 19:55:13 UTC; ggloor
Repository: CRAN
Date/Publication: 2022-10-04 23:40:04 UTC
Built: R 4.2.0; ; 2022-10-05 12:24:11 UTC; unix
