Package: gSeg 1.1

Hao Chen
gSeg: Graph-Based Change-Point Detection (g-Segmentation)
Uses similarity graphs to estimate change-points and their p-values. The default data-level interface constructs a k-MST with k=floor(sqrt(N)) and reports the max-type scan. The generalized, original, and weighted scans remain available explicitly.
Authors:
gSeg_1.1.tar.gz
gSeg_1.1.zip(r-4.7-any)gSeg_1.1.zip(r-4.6-any)
gSeg_1.1.tar.gz(r-4.7-any)gSeg_1.1.tar.gz(r-4.6-any)
gSeg_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
gSeg/json (API)
| # Install 'gSeg' in R: |
| install.packages('gSeg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- E1 - An edge matrix representing a similarity graph
- E2 - An edge matrix representing a similarity graph
- E3 - An edge matrix representing a similarity graph
- E4 - An edge matrix representing a similiarity graph
- E5 - An edge matrix representing a similiarity graph
- n - The Number of Observations in the Sequence
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:730537b55f. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 133 | ||
| source / vignettes | OK | 146 | ||
| linux-release | OK | 107 | ||
| windows-devel | OK | 80 | ||
| windows-release | OK | 82 | ||
| wasm-release | OK | 92 |
Exports:gseg_kmstgseg1gseg1_datagseg1_discretegseg2gseg2_datagseg2_discretennl
