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: | 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 <sce at utk.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | lakhesis citation info |
| Materials: | README |
| CRAN checks: | lakhesis results |
Documentation:
| Reference manual: | lakhesis.html ,lakhesis.pdf |
Downloads:
| Package source: | lakhesis_0.0.1.tar.gz |
| Windows binaries: | r-devel:lakhesis_0.0.1.zip, r-release:lakhesis_0.0.1.zip, r-oldrel:lakhesis_0.0.1.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 |
Linking:
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