Package description and contents | Example 1: Clustering purely nominal data | Partitioning approach | Model-based approach | Example 2: Clustering purely ordinal data | Treating the data as purely nominal | Treating the data as equidistant (=integer) | Example 3: Clustering mixed-type data with missing values | References
Package: flexord 1.0.0
Lena Ortega Menjivar
flexord: Flexible Clustering of Ordinal and Mixed-with-Ordinal Data
Extends the capabilities for flexible partitioning and model-based clustering available in the packages 'flexclust' and 'flexmix' to handle ordinal and mixed-with-ordinal data types via new distance, centroid and driver functions that make various assumptions regarding ordinality. Using them within the flex-scheme allows for easy comparisons across methods.
Authors:
flexord_1.0.0.tar.gz
flexord_1.0.0.zip(r-4.7-any)flexord_1.0.0.zip(r-4.6-any)flexord_1.0.0.zip(r-4.5-any)
flexord_1.0.0.tgz(r-4.6-any)flexord_1.0.0.tgz(r-4.5-any)
flexord_1.0.0.tar.gz(r-4.7-any)flexord_1.0.0.tar.gz(r-4.6-any)
flexord_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
flexord/json (API)
| # Install 'flexord' in R: |
| install.packages('flexord', repos = c('https://dernst.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dernst/flexord/issues
Pkgdown/docs site:https://zettlchen.github.io
Datasets:
- lowbackpain - Low Back Pain Diagnoses and Diagnosis Criteria
- risk - Risk Aversion
Last updated from:ebadc18037. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 118 | ||
| source / vignettes | OK | 342 | ||
| linux-release | OK | 122 | ||
| macos-release | OK | 171 | ||
| macos-oldrel | OK | 164 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 80 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 77 |
Exports:centMincentModecentOptimNAdistGDM2distGowerdistSimMatchFLXMCregbetabinomFLXMCregbinomFLXMCregmultinomFLXMCregnormFLXMCregnorm_defaultskccaExtendedFamily
Dependencies:classflexclustflexmixlatticemodeltoolsmvtnormnnet
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Centroid Functions for K-Centroids Clustering of (Ordinal) Categorical/Mixed Data | centMin centMode centOptimNA centroids |
| Distance Functions for K-Centroids Clustering of (Ordinal) Categorical/Mixed Data | distances distGDM2 distGower distSimMatch |
| FlexMix Driver for Regularized Beta-Binomial Mixtures | FLXMCregbetabinom |
| FlexMix Driver for Regularized Binomial Mixtures | FLXMCregbinom |
| FlexMix Driver for Regularized Multinomial Mixtures | FLXMCregmultinom |
| FlexMix Driver for Regularized Multivariate Normal Mixtures | FLXMCregnorm |
| Data-Driven Default Parameters for Regularized Normal Mixtures | FLXMCregnorm_defaults |
| Extending K-Centroids Clustering to (Mixed-with-)Ordinal Data | kccaExtendedFamily |
| Low Back Pain Diagnoses and Diagnosis Criteria | lowbackpain |
| Risk Aversion | risk |