Package: ConsRankClass 1.0.1
Antonio DAmbrosio
ConsRankClass: Classification and Clustering of Preference Rankings
Tree-based classification and soft-clustering method for preference rankings, with tools for external validation of fuzzy clustering. It contains the recursive partitioning algorithm for preference rankings, non-parametric tree-based method for a matrix of preference rankings as a response variable. It contains also the distribution-free soft clustering method for preference rankings, namely the K-median cluster component analysis (CCA). The package depends on the 'ConsRank' R package. Options for validate the tree-based method are both test-set procedure and V-fold cross validation. The package contains the routines to compute the adjusted concordance index (a fuzzy version of the adjusted rand index) and the normalized degree of concordance (the corresponding fuzzy version of the rand index). Essential references: D'Ambrosio, A., Amodio, S., Iorio, C., Pandolfo, G., and Siciliano, R. (2021) <doi:10.1007/s00357-020-09367-0> D'Ambrosio, A., and Heiser, W.J. (2019) <doi:10.1007/s41237-018-0069-5>; D'Ambrosio, A., and Heiser W.J. (2016) <doi:10.1007/s11336-016-9505-1>; Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012) <doi:10.1109/TFUZZ.2011.2179303>.
Authors:
ConsRankClass_1.0.1.tar.gz
ConsRankClass_1.0.1.tar.gz(r-4.5-noble)ConsRankClass_1.0.1.tar.gz(r-4.4-noble)
ConsRankClass_1.0.1.tgz(r-4.4-emscripten)ConsRankClass_1.0.1.tgz(r-4.3-emscripten)
ConsRankClass.pdf |ConsRankClass.html✨
ConsRankClass/json (API)
| # Install 'ConsRankClass' in R: |
| install.packages('ConsRankClass', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:33f18bd53c. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 27 2024 |
| R-4.5-linux | NOTE | Aug 27 2024 |
Exports:ccaccacontrolfuzzyconcordancegetsubtreelayouttreenodepathranktreeranktreecontroltreepathsvalidatetree
Dependencies:base64encbslibcachemcliConsRankcpp11data.tabledigestdplyrevaluatefansifastmapfontawesomefsgenericsgluegtoolshighrhmshtmltoolshtmlwidgetsjanitorjquerylibjsonliteknitrlifecyclelubridatemagrittrmemoisemimepillarpkgconfigpracmaproxypurrrR6rappdirsrglrlangrlistrmarkdownsasssnakecasestringistringrtibbletidyrtidyselecttimechangetinytexutf8vctrswithrxfunXMLyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| K-Median Cluster Component Analysis | cca |
| Utility function | ccacontrol |
| European Values Studies (EVS) data | EVS |
| Normalized Degree of Concordance (NDC) and Adjusted Concordance Index (ACI) | fuzzyconcordance |
| Determine a tree from the main tree-based structure | getsubtree |
| Irish Election data set | Irish |
| Utility function | layouttree |
| Path of a terminal node | nodepath |
| Plot tree-based structure or pruning sequence of ranktree | plot.ranktree |
| Predict the median rankings for new observations | predict.ranktree |
| S3 methods for cca | print.cca |
| S3 methods for ranktree | print.ranktree |
| Recursive partitioning method for the prediction of preference rankings based upon Kemeny distances | ranktree |
| Utility function | ranktreecontrol |
| S3 methods for ranktree | summary.cca |
| S3 methods for ranktree | summary.ranktree |
| Path of a terminal node | treepaths |
| University rankings dataset. | Univranks |
| Validation of the tree for preference rankings | validatetree |