lakhesis: Consensus Seriation for Binary Data (original) (raw)
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: | 0.0.1 |
|---|---|
| Depends: | R (≥ 2.10) |
| Imports: | stats, readr, ca, ggplot2, Rdpack, shiny, shinydashboard, bslib |
| Published: | 2024-06-10 |
| DOI: | 10.32614/CRAN.package.lakhesis |
| Author: | Stephen A. Collins-Elliott [aut, cre] |
| Maintainer: | Stephen A. Collins-Elliott |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | lakhesis citation info |
| Materials: | README |
| CRAN checks: | lakhesis results |
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