Package: gSeg 1.0
Hao Chen
gSeg: Graph-Based Change-Point Detection (g-Segmentation)
Using an approach based on similarity graph to estimate change-point(s) and the corresponding p-values. Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.
Authors:
gSeg_1.0.tar.gz
gSeg_1.0.tar.gz(r-4.5-noble)gSeg_1.0.tar.gz(r-4.4-noble)
gSeg_1.0.tgz(r-4.4-emscripten)gSeg_1.0.tgz(r-4.3-emscripten)
gSeg.pdf |gSeg.html✨
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 4 years agofrom:bd0f095dd4. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 03 2024 |
| R-4.5-linux | OK | Dec 03 2024 |
Exports:gseg1gseg1_discretegseg2gseg2_discretennl
Dependencies:
