infoxtr: Information-Theoretic Measures for Revealing Variable
Interactions
Implements information-theoretic measures to explore variable interactions, including ksg mutual information estimation for continuous variables from Kraskov et al. (2004) <doi:10.1103/PhysRevE.69.066138>, knockoff conditional mutual information described in Zhang & Chen (2025) <doi:10.1126/sciadv.adu6464>, synergistic-unique-redundant decomposition as introduced by Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>, allowing detection of complex and diverse relationships among variables.
| Version: |
0.1 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
methods, sdsfun, sf, terra |
| LinkingTo: |
Rcpp, RcppThread |
| Suggests: |
knitr, Rcpp, RcppThread, readr, rmarkdown, spEDM, tEDM |
| Published: |
2026-03-19 |
| DOI: |
10.32614/CRAN.package.infoxtr (may not be active yet) |
| Author: |
Wenbo Lyu  [aut,
cre, cph] |
| Maintainer: |
Wenbo Lyu <lyu.geosocial at gmail.com> |
| BugReports: |
https://github.com/stscl/infoxtr/issues |
| License: |
GPL-3 |
| URL: |
https://stscl.github.io/infoxtr/, https://github.com/stscl/infoxtr |
| NeedsCompilation: |
yes |
| Citation: |
infoxtr citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
infoxtr results |
Documentation:
Downloads:
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