dbrobust: 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) <doi:10.1016/j.seps.2024.101992>.
| Version: |
1.1.0 |
| Depends: |
R (≥ 4.0) |
| Imports: |
MASS, proxy, ade4, Rdpack, dbstats, StatMatch, RColorBrewer, pheatmap, qgraph, GGally, ggplot2, vegan, RSpectra, cluster, Rcpp |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2026-07-23 |
| DOI: |
10.32614/CRAN.package.dbrobust |
| Author: |
Marcos Álvarez [aut],
Eva Boj [aut, cre],
Aurea Grané [aut] |
| Maintainer: |
Eva Boj <evaboj at ub.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Materials: |
NEWS |
| CRAN checks: |
dbrobust results |
Documentation:
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