Package: ringSeg 0.1.0

Hao Chen

ringSeg: Asymptotic Distribution-Free Change-Point Detection via a New Ranking Scheme (RING)

Rank-based, asymptotic distribution-free change-point detection for modern (high-dimensional, non-Euclidean) data, based on the graph-induced ranking scheme of Zhou and Chen (2025) <doi:10.1109/TIT.2025.3575858>. Given a rank matrix built from a pairwise similarity, the method scans for a single change-point or a changed interval using three statistics (weighted 'WR', max-type 'MR', and generalized 'TR') and returns analytic distribution-free p-value approximations (with an optional skewness correction) as well as optional permutation p-values.

Authors:Doudou Zhou [aut], Hao Chen [aut, cre]

ringSeg_0.1.0.tar.gz
ringSeg_0.1.0.tar.gz(r-4.7-any)ringSeg_0.1.0.tar.gz(r-4.6-any)
ringSeg_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
ringSeg/json (API)

# Install 'ringSeg' in R:
install.packages('ringSeg', repos = c('https://cran.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.

1.70 score 4 exports 0 dependencies

Last updated from:7d5a7198f3. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK140
source / vignettesOK143
linux-release-x86_64OK109
wasm-releaseOK85

Exports:rcpdring_cpdring_graphRise_Rank

Dependencies: