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:Lena Ortega Menjivar [aut, cre], Dominik Ernst [aut], Theresa Scharl [ctb], Bettina Gruen [ctb], Ivan Kondofersky [ctb]

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flexord.pdf |flexord.html✨
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 site:https://zettlchen.github.io

Datasets:

lowbackpain - Low Back Pain Diagnoses and Diagnosis Criteria
risk - Risk Aversion

On CRAN:

5.51 score 2 stars 12 exports 8 dependencies

Last updated 7 days agofrom:ebadc18037. Checks:4 OK, 5 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Mar 28 2025
R-4.5-win	OK	Mar 28 2025
R-4.5-mac	OK	Mar 28 2025
R-4.5-linux	OK	Mar 28 2025
R-4.4-win	NOTE	Mar 28 2025
R-4.4-mac	NOTE	Mar 28 2025
R-4.4-linux	NOTE	Mar 28 2025
R-4.3-win	NOTE	Mar 28 2025
R-4.3-mac	NOTE	Mar 28 2025

Exports:centMin centMode centOptimNA distGDM2 distGower distSimMatch FLXMCregbetabinom FLXMCregbinom FLXMCregmultinom FLXMCregnorm FLXMCregnorm_defaults kccaExtendedFamily

Dependencies:class flexclust flexmix lattice MASS modeltools mvtnorm nnet

Introduction to Flexible Clustering of (Mixed-With-)Ordinal Data

Rendered fromIntro2Flexord.Rmdusingknitr::rmarkdownon Mar 28 2025.

Last update: 2025-03-25
Started: 2025-02-14

Citation

Development and contributors

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