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.
| Version: | 0.4 |
| Depends: | R (≥ 3.0.1) |
| Suggests: | ade4 |
| Published: | 2017-07-06 |
| Author: | Hao Chen, Nancy R. Zhang, and Lynna Chu |
| Maintainer: | Hao Chen <hxchen at ucdavis.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | gSeg results |
| Reference manual: | gSeg.pdf |
| Package source: | gSeg_0.4.tar.gz |
| Windows binaries: | r-devel: gSeg_0.4.zip, r-release: gSeg_0.4.zip, r-oldrel: gSeg_0.4.zip |
| OS X El Capitan binaries: | r-release: gSeg_0.4.tgz |
| OS X Mavericks binaries: | r-oldrel: gSeg_0.4.tgz |
| Old sources: | gSeg archive |
Please use the canonical form https://CRAN.R-project.org/package=gSeg to link to this page.