Package: DCIi1 0.2.0

Nachiketas Waychal

DCIi1: I1 Mean-Change Testing and DCI Candidate Detection

Computes the I1 statistic for mean changes and generates multiple candidate change locations using adaptive contrasts and local interquartile scaling. Provides empirical I1 p-values for independent Gaussian series of length 100 with full-window parameter 22, statistic-only analysis for other settings, and weighted and unweighted segmentation covering scores. DCI candidate detection is descriptive and does not assign significance to selected segments. Based on the methodology of Waychal, Laha and Sinha (2026) <doi:10.48550/arXiv.2610.23476>.

Authors:Nachiketas Waychal [aut, cre, cph], Arnab Kumar Laha [aut, cph], Ankur Sinha [aut, cph]

DCIi1_0.2.0.tar.gz
DCIi1_0.2.0.zip(r-4.7-any)DCIi1_0.2.0.zip(r-4.6-any)
DCIi1_0.2.0.tar.gz(r-4.7-any)DCIi1_0.2.0.tar.gz(r-4.6-any)
DCIi1_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
DCIi1/json (API)

# Install 'DCIi1' in R:
install.packages('DCIi1', 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.

3.00 score 6 exports 0 dependencies

Last updated from:5fdc9b6c85. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK153
source / vignettesOK170
linux-releaseOK161
windows-develOK64
windows-releaseOK61
wasm-releaseOK74

Exports:change_pointscovering_metriccovering_metric_unwtddcii1i1_stti1_test

Dependencies:

Descriptive DCI candidate detection
Generate candidates | Local scaling and flag conventions | Evaluate descriptive segmentation | Reference
Rendered fromdci-algorithm.Rmdusingknitr::rmarkdown

Last update: 2026-11-08
Started: 2026-11-08

I1 mean-change testing
Reference test | Formula and scope | Finite-sample evidence | Reference
Rendered fromi1-test.Rmdusingknitr::rmarkdown

Last update: 2026-11-08
Started: 2026-11-08