aIc
Testing for Compositional Pathologies in Datasets
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>).
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0 |
rolling linux/jammy R-4.5 | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
rolling linux/noble R-4.5 | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
rolling source/ R- | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
latest linux/jammy R-4.5 | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
latest linux/noble R-4.5 | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
latest source/ R- | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
2026-04-26 source/ R- | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
2026-04-23 source/ R- | aIc_1.0.tar.gz |
2.6 MiB |
1.0 |
2025-04-20 source/ R- | aIc_1.0.tar.gz |
2.6 MiB |