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)multiselect_0.1.0.zip(r-4.6)multiselect_0.1.0.zip(r-4.5)
multiselect_0.1.0.tgz(r-4.6-any)multiselect_0.1.0.tgz(r-4.5-any)
multiselect_0.1.0.tar.gz(r-4.7-any)multiselect_0.1.0.tar.gz(r-4.6-any)
multiselect_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
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:

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

1.00 score 1 scripts 134 downloads 1 mentions 1 exports 55 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	130
source / vignettes	OK	152
linux-release-x86_64	OK	122
macos-release-arm64	OK	177
macos-oldrel-arm64	OK	385
windows-devel	OK	76
windows-release	OK	62
windows-oldrel	OK	71
wasm-release	OK	124