doi:10.1101/2021.09.08.459421>), a generalization of classical multidimensional scaling to multiple distance matrices.">

phylter: Detect and Remove Outliers in Phylogenomics Datasets (original) (raw)

Analyzis and filtering of phylogenomics datasets. It takes an input either a collection of gene trees (then transformed to matrices) or directly a collection of gene matrices and performs an iterative process to identify what species in what genes are outliers, and whose elimination significantly improves the concordance between the input matrices. The methods builds upon the Distatis approach (Abdi et al. (2005) <doi:10.1101/2021.09.08.459421>), a generalization of classical multidimensional scaling to multiple distance matrices.

Version: 0.9.12
Depends: R (≥ 4.0)
Imports: ape, ggplot2, reshape2, Rfast, RSpectra, stats, utils
LinkingTo: RcppEigen (≥ 0.3.2.9.0), Rcpp (≥ 0.12.6), RcppArmadillo (≥ 0.7.600.1.0)
Suggests: knitr, rmarkdown
Published: 2025-07-29
DOI: 10.32614/CRAN.package.phylter
Author: Damien M. de VienneORCID iD [aut], Stéphane Dray ORCID iD [aut], Théo Tricou ORCID iD [aut], Aurélie SiberchicotORCID iD [ctb, cre]
Maintainer: Aurélie Siberchicot <aurelie.siberchicot at univ-lyon1.fr>
BugReports: https://github.com/damiendevienne/phylter/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/damiendevienne/phylter
NeedsCompilation: yes
Citation: phylter citation info
CRAN checks: phylter results

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