Package: infoxtr 0.3

Wenbo Lyu

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 introduced by Martinez-Sanchez et al. (2024) <doi:10.1038/s41467-024-53373-4>, allowing detection of complex and diverse relationships among variables.

Authors:Wenbo Lyu [aut, cre, cph]

infoxtr_0.3.tar.gz
infoxtr_0.3.zip(r-4.7)infoxtr_0.3.zip(r-4.6)infoxtr_0.3.zip(r-4.5)
infoxtr_0.3.tgz(r-4.6-x86_64)infoxtr_0.3.tgz(r-4.6-arm64)infoxtr_0.3.tgz(r-4.5-arm64)infoxtr_0.3.tgz(r-4.5-x86_64)
infoxtr_0.3.tar.gz(r-4.7-arm64)infoxtr_0.3.tar.gz(r-4.7-x86_64)infoxtr_0.3.tar.gz(r-4.6-arm64)infoxtr_0.3.tar.gz(r-4.6-x86_64)
infoxtr_0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
infoxtr/json (API)

# Install 'infoxtr' in R:
install.packages('infoxtr', repos = c('https://stscl.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/stscl/infoxtr/issues

Pkgdown/docs site:https://stscl.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bioinformaticscausal-discoverycausal-interactioncausalitycausality-analysiscppdata-drivendata-driven-decision-makingdata-sciencegeoinformaticsinfo-theoryinformaticsinformation-theoryspatial-analysisspatial-data-sciencespatial-statisticsstatistical-inferencetime-seriestime-series-analysiscpp

6.27 score 53 stars 536 downloads 9 exports 41 dependencies

Last updated from:22cb4a9edc. Checks:12 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK412
linux-devel-x86_64OK433
source / vignettesOK491
linux-release-arm64OK428
linux-release-x86_64OK407
macos-release-arm64OK102
macos-release-x86_64OK335
macos-oldrel-arm64OK123
macos-oldrel-x86_64FAIL168
windows-develOK164
windows-releaseOK157
windows-oldrelOK159
wasm-releaseOK512

Exports:cecmidiscretizeentropyjekocmimisurdte

Dependencies:bootclassclassIntcliDBIdeldirdigestdplyre1071genericsgeosphereglueKernSmoothlatticelifecyclemagrittrMASSpanderpillarpkgconfigproxypurrrR6RcppRcppArmadilloRcppThreadrlangs2sdsfunsfspspDataspdepterratibbletidyselectunitsutf8vctrswithrwk

Synergistic-Unique-Redundant Decomposition of Causality (SURD)

Rendered fromsurd.Rmdusingknitr::rmarkdownon Jun 24 2026.

Last update: 2026-05-26
Started: 2026-03-15

Readme and manuals

Help Manual

Help pageTopics
Conditional Entropyce
Conditional Mutual Informationcmi
Discretizationdiscretize
Shannon Entropyentropy
Joint Entropyje
KOCMIkocmi
Mutual Informationmi
SURDsurd surd,data.frame-method surd,sf-method surd,SpatRaster-method
Transfer Entropyte