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lakhesis: Consensus Seriation for Binary Data

Determining consensus seriations for binary incidence matrices, using a two-step process of Procrustes-fit correspondence analysis for heuristic selection of partial seriations and iterative regression to establish a single consensus. Contains the Lakhesis Calculator, a graphical platform for identifying seriated sequences. Collins-Elliott (2024) <https://volweb.utk.edu/~scolli46/sceLakhesis.pdf>.

Version: 1.1
Depends: R (≥ 3.5.0)
Imports: stats, Rcpp, RcppArmadillo, readr, ca, ggplot2, Rdpack, shiny, shinydashboard, bslib
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Published: 2026-04-25
DOI: 10.32614/CRAN.package.lakhesis
Author: Stephen A. Collins-Elliott ORCID iD [aut, cre]
Maintainer: Stephen A. Collins-Elliott <sce at utk.edu>
License: GPL (≥ 3)
NeedsCompilation: yes
Citation: lakhesis citation info
Materials: README
CRAN checks: lakhesis results

Documentation:

Reference manual: lakhesis.html , lakhesis.pdf
Vignettes: A Guide to Lakhesis (source, R code)

Downloads:

Package source: lakhesis_1.1.tar.gz
Windows binaries: r-release: lakhesis_1.1.zip, r-oldrel: lakhesis_1.1.zip
macOS binaries: r-release (arm64): lakhesis_0.0.1.tgz, r-oldrel (arm64): lakhesis_0.0.1.tgz, r-release (x86_64): lakhesis_0.0.1.tgz, r-oldrel (x86_64): lakhesis_0.0.1.tgz
Old sources: lakhesis archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.