Package: mcvis 1.0.8

mcvis: Multi-Collinearity Visualization

Visualize the relationship between linear regression variables and causes of multi-collinearity. Implements the method in Lin et. al. (2020) <doi:10.1080/10618600.2020.1779729>.

Authors:Kevin Wang [aut, cre], Chen Lin [aut], Samuel Mueller [aut]

mcvis_1.0.8.tar.gz
mcvis_1.0.8.zip(r-4.7)mcvis_1.0.8.zip(r-4.6)mcvis_1.0.8.zip(r-4.5)
mcvis_1.0.8.tgz(r-4.6-any)mcvis_1.0.8.tgz(r-4.5-any)
mcvis_1.0.8.tar.gz(r-4.7-any)mcvis_1.0.8.tar.gz(r-4.6-any)
mcvis_1.0.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mcvis/json (API)
NEWS

# Install 'mcvis' in R:
install.packages('mcvis', repos = c('https://kevinwang09.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kevinwang09/mcvis/issues

On CRAN:

Conda:

4.38 score 2 stars 24 scripts 177 downloads 5 exports 61 dependencies

Last updated from:8f3267d67d. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE156
source / vignettesOK203
linux-release-x86_64NOTE155
macos-release-arm64NOTE98
macos-oldrel-arm64NOTE94
windows-develNOTE149
windows-releaseNOTE117
windows-oldrelNOTE101
wasm-releaseOK126

Exports:alt_mcvisggplot_mcvisigraph_mcvismcvisshiny_mcvis

Dependencies:assertthatbase64encbslibcachemclicommonmarkcpp11digestdplyrfarverfastmapfontawesomefsgenericsggplot2glueGPArotationgtablehtmltoolshttpuvigraphisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMatrixmemoisemimemnormtnlmeotelpillarpkgconfigplyrpromisespsychpurrrR6rappdirsRColorBrewerRcppreshape2rlangS7sassscalesshinysourcetoolsstringistringrtibbletidyselectutf8vctrsviridisLitewithrxtable

mcvis: Multi-collinearity Visualization

Kevin Wang, Chen Lin and Samuel Mueller

Rendered frommcvis.Rmdusingknitr::rmarkdownon May 27 2026.

Last update: 2021-07-30
Started: 2019-05-03