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
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mcvis_1.0.8.tgz(r-4.4-any)mcvis_1.0.8.tgz(r-4.3-any)
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mcvis.pdf |mcvis.html✨
mcvis/json (API)
NEWS

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

Peer review:

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

On CRAN:

5 exports 2 stars 0.93 score 65 dependencies 22 scripts 235 downloads

Last updated 3 years agofrom:8f3267d67d. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 09 2024
R-4.5-winNOTESep 09 2024
R-4.5-linuxNOTESep 09 2024
R-4.4-winNOTESep 09 2024
R-4.4-macNOTESep 09 2024
R-4.3-winOKSep 09 2024
R-4.3-macOKSep 09 2024

Exports:alt_mcvisggplot_mcvisigraph_mcvismcvisshiny_mcvis

Dependencies:assertthatbase64encbslibcachemclicolorspacecommonmarkcpp11crayondigestdplyrfansifarverfastmapfontawesomefsgenericsggplot2glueGPArotationgtablehtmltoolshttpuvigraphisobandjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemnormtmunsellnlmepillarpkgconfigplyrpromisespsychpurrrR6rappdirsRColorBrewerRcppreshape2rlangsassscalesshinysourcetoolsstringistringrtibbletidyselectutf8vctrsviridisLitewithrxtable

mcvis: Multi-collinearity Visualization

Kevin Wang, Chen Lin and Samuel Mueller

Rendered frommcvis.Rmdusingknitr::rmarkdownon Sep 09 2024.

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