Package: WBI 0.1.0

WBI: Wasserstein Bipolarization Index

Computation of the Wasserstein Bipolarization Index as described in Lee and Sobel (Forthcoming) <doi:10.48550/arXiv.2408.03331>. Provides both asymptotic (Sommerfeld, 2017 <https://ediss.uni-goettingen.de/bitstream/handle/11858/00-1735-0000-0023-3FA1-C/DissertationSommerfeldRev.pdf?sequence=1>) and bootstrap methods (Efron and Narasimhan, 2020 <doi:10.1080/10618600.2020.1714633>) for calculating confidence intervals.

Authors:Hane Lee [aut, cre]

WBI_0.1.0.tar.gz
WBI_0.1.0.zip(r-4.7)WBI_0.1.0.zip(r-4.6)WBI_0.1.0.zip(r-4.5)
WBI_0.1.0.tgz(r-4.6-any)WBI_0.1.0.tgz(r-4.5-any)
WBI_0.1.0.tar.gz(r-4.7-any)WBI_0.1.0.tar.gz(r-4.6-any)
WBI_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
WBI/json (API)
NEWS

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

Bug tracker:https://github.com/hanelee/wbi/issues

On CRAN:

Conda:

3.18 score 451 downloads 2 exports 20 dependencies

Last updated from:a42d161e6e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK128
source / vignettesOK271
linux-release-x86_64OK118
macos-release-arm64OK176
macos-oldrel-arm64OK191
windows-develOK81
windows-releaseOK74
windows-oldrelOK72
wasm-releaseOK113

Exports:WBIWBI_boot

Dependencies:bcabootclidata.tabledplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6RcppRcppEigenrlangtibbletidyselecttransportutf8vctrswithr