Package: mgc 2.0.2

Eric Bridgeford

mgc: Multiscale Graph Correlation

Multiscale Graph Correlation (MGC) is a framework developed by Vogelstein et al. (2019) <doi:10.7554/eLife.41690> that extends global correlation procedures to be multiscale; consequently, MGC tests typically require far fewer samples than existing methods for a wide variety of dependence structures and dimensionalities, while maintaining computational efficiency. Moreover, MGC provides a simple and elegant multiscale characterization of the potentially complex latent geometry underlying the relationship.

Authors:Eric Bridgeford [aut, cre], Censheng Shen [aut], Shangsi Wang [aut], Joshua Vogelstein [ths]

mgc_2.0.2.tar.gz
mgc_2.0.2.zip(r-4.7)mgc_2.0.2.zip(r-4.6)mgc_2.0.2.zip(r-4.5)
mgc_2.0.2.tgz(r-4.6-x86_64)mgc_2.0.2.tgz(r-4.6-arm64)mgc_2.0.2.tgz(r-4.5-x86_64)mgc_2.0.2.tgz(r-4.5-arm64)
mgc_2.0.2.tar.gz(r-4.7-arm64)mgc_2.0.2.tar.gz(r-4.7-x86_64)mgc_2.0.2.tar.gz(r-4.6-arm64)mgc_2.0.2.tar.gz(r-4.6-x86_64)
mgc_2.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
mgc/json (API)

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

Bug tracker:https://github.com/neurodata/r-mgc/issues

On CRAN:

Conda:

7.70 score 10 stars 2 packages 84 scripts 227 downloads 26 exports 10 dependencies

Last updated from:53117f00ec. Checks:11 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE258
linux-devel-x86_64NOTE272
source / vignettesOK272
linux-release-arm64NOTE230
linux-release-x86_64NOTE251
macos-release-arm64NOTE264
macos-release-x86_64NOTE457
macos-oldrel-arm64NOTE251
macos-oldrel-x86_64NOTE527
windows-develNOTE230
windows-releaseNOTE206
windows-oldrelNOTE207
wasm-releaseOK137

Exports:ConnCompLabeldiscr.sims.crossdiscr.sims.expdiscr.sims.fat_tailsdiscr.sims.lineardiscr.sims.radialdiscr.statdiscr.test.one_samplediscr.test.two_samplemgc.dist.xfmmgc.distancemgc.ksamplemgc.localcorrmgc.sims.2ballmgc.sims.2spheremgc.sims.cubicmgc.sims.expmgc.sims.jointmgc.sims.linearmgc.sims.quadmgc.sims.spiralmgc.sims.stepmgc.sims.ubernmgc.sims.wshapemgc.statmgc.test

Dependencies:abindbootenergygsllatticeMASSrasterRcppspterra

MGC Statistic
Simulated Data | Real Data
Rendered fromMGC.Rmdusingknitr::rmarkdown

Last update: 2021-02-23
Started: 2017-11-02

Discriminability Statistic
Simulated Data | Using a user-specified distance matrix | Using a user-specified distance function | Real Data
Rendered fromDiscriminability.Rmdusingknitr::rmarkdown

Last update: 2019-08-31
Started: 2017-11-03

Class Dependence Simulations
Linear | Spread | Cross | Radial
Rendered fromclass_simulations.Rmdusingknitr::rmarkdown

Last update: 2019-08-29
Started: 2018-10-01

Canonical Dependence Simulations
Linear | Exponential | Cubic | Joint-Normal | Step | Quadratic | W-Shape | Spiral | Uncorrelated Bernoulli
Rendered fromdep_simulations.Rmdusingknitr::rmarkdown

Last update: 2018-10-01
Started: 2018-10-01