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 [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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