Package: multiselect 0.1.0

multiselect: Selecting Combinations of Predictors by Leveraging Multiple AUCs for an Ordered Multilevel Outcome

Uses multiple AUCs to select a combination of predictors when the outcome has multiple (ordered) levels and the focus is discriminating one particular level from the others. This method is most naturally applied to settings where the outcome has three levels. (Meisner, A, Parikh, CR, and Kerr, KF (2017) <http://biostats.bepress.com/uwbiostat/paper423/>.)

Authors:Allison Meisner

multiselect_0.1.0.tar.gz
multiselect_0.1.0.zip(r-4.7-any)multiselect_0.1.0.zip(r-4.6-any)multiselect_0.1.0.zip(r-4.5-any)
multiselect_0.1.0.tgz(r-4.6-any)multiselect_0.1.0.tgz(r-4.5-any)
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multiselect_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
multiselect/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 227 downloads 1 mentions 1 exports 55 dependencies

Last updated from:da5f1c89ae. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK131
source / vignettesOK187
linux-releaseOK111
macos-releaseOK163
macos-oldrelOK171
windows-develOK79
windows-releaseOK108
windows-oldrelOK63
wasm-releaseOK118

Exports:multiselect

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglifecyclemagrittrmemoisemimennetR6rappdirsRColorBrewerrlangrmarkdownrpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml