Robust Distance-Based Visualization and Analysis of Mixed-Type Data

Robust distance-based methods applied to matrices and data frames, producing distance matrices that can be used as input for various visualization techniques such as graphs, heatmaps, or multidimensional scaling configurations. See Boj and Grané (2024) , Boj et al. (2026) , and Grané et al. (2026) .


Reference manual

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install.packages("dbrobust")

1.1.1 by Eva Boj, 2 months ago


Browse source code at https://github.com/cran/dbrobust


Authors: Marcos Álvarez [aut] , Eva Boj [aut, cre] , Aurea Grané [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports MASS, proxy, ade4, Rdpack, dbstats, StatMatch, RColorBrewer, pheatmap, qgraph, GGally, ggplot2, vegan, RSpectra, cluster, Rcpp

Suggests testthat

Linking to Rcpp, RcppArmadillo


See at CRAN