Package: lakhesis 1.1.2
Stephen A. Collins-Elliott
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 (2026) "Lakhesis: Consensus Seriation via Iterative Regression of Partial Rankings for Binary Data" <doi:10.1080/02664763.2026.2672564>.
Authors:
lakhesis_1.1.2.tar.gz
lakhesis_1.1.2.tar.gz(r-4.7-arm64)lakhesis_1.1.2.tar.gz(r-4.7-x86_64)lakhesis_1.1.2.tar.gz(r-4.6-arm64)lakhesis_1.1.2.tar.gz(r-4.6-x86_64)
lakhesis_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lakhesis/json (API)
| # Install 'lakhesis' in R: |
| install.packages('lakhesis', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- qf_strands - Quattro Fontanili - Strands
- quattrofontanili - Quattro Fontanili
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6a3efef4c5. Checks:4 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | NOTE | 166 | ||
| linux-devel-x86_64 | NOTE | 146 | ||
| source / vignettes | OK | 216 | ||
| linux-release-arm64 | NOTE | 130 | ||
| linux-release-x86_64 | NOTE | 149 | ||
| wasm-release | OK | 132 |
Exports:ca_procrustesca_procrustes_serconc_cconc_wrccor_sqelement_evalim_longim_mergeim_read_csvim_reflakhesizeLCspearman_sqstrand_addstrand_createstrand_extractstrand_suppressstrands_create
Dependencies:base64encbitbit64bslibcacachemclicliprcommonmarkcpp11crayondigestfarverfastmapfontawesomefsggplot2gluegtablehmshtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlifecyclemagrittrmemoisemimeotelpillarpkgconfigprettyunitsprogresspromisesR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRdpackreadrrlangS7sassscalesshinyshinydashboardsourcetoolstibbletidyselecttzdbutf8vctrsviridisLitevroomwithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Correspondence Analysis with Procrustes Fitting | ca_procrustes ca_procrustes.incidence_matrix ca_procrustes.matrix |
| Seriate Procrustes-Fit CA Scores | ca_procrustes_ser ca_procrustes_ser.incidence_matrix ca_procrustes_ser.matrix |
| Optimality Criterion: Kendall-Doran (Column) Concentration | conc_c conc_c.incidence_matrix conc_c.matrix |
| Optimality Criterion: Weighted Row-Column Concentration | conc_wrc conc_wrc.incidence_matrix conc_wrc.matrix |
| Optimality Criterion: Squared Correlation | cor_sq cor_sq.incidence_matrix cor_sq.matrix |
| Evaluating Element Fit | element_eval element_eval.incidence_matrix element_eval.matrix |
| Convert Incidence Matrix to Pairs (Long Format) | im_long im_long.incidence_matrix im_long.matrix |
| Merge Two Incidence Matrices | im_merge im_merge.incidence_matrix im_merge.matrix |
| Read csv File to Incidence Matrix | im_read_csv |
| Create Reference Matrix | im_ref im_ref.matrix |
| Lakhesize | lakhesize lakhesize.default lakhesize.strands |
| Lakhesis Calculator | LC |
| Quattro Fontanili - Strands | qf_strands |
| Quattro Fontanili | quattrofontanili |
| Spearman Correlation Squared | spearman_sq spearman_sq.numeric |
| Add Strand to List of Strands | strand_add strand_add.strand |
| Create Strand Object from Seriated Incidence Matrix | strand_create strand_create.incidence_matrix strand_create.matrix |
| Strand Extract | strand_extract |
| Suppress Element from Strands | strand_suppress strand_suppress.default strand_suppress.strands |
| Create List of Strands | strands_create strands_create.list |
