Package: gStream
Version: 0.2.0
Date: 2019-04-28
Title: Graph-Based Sequential Change-Point Detection for Streaming Data
Author: Hao Chen and Lynna Chu
Maintainer: Hao Chen <hxchen@ucdavis.edu>
Depends: R (>= 3.0.1)
Description: Uses an approach based on k-nearest neighbor information to sequentially detect change-points. Offers analytic approximations for false discovery control given user-specified average run length.  Can be applied to any type of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity measure is available.  See references (1) Chen, H. (2019) Sequential change-point detection based on nearest neighbors. The Annals of Statistics, 47(3):1381-1407. (2) Chu, L. and Chen, H. (2018) Sequential change-point detection for high-dimensional and non-Euclidean data <arXiv:1810.05973>. 
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2019-04-30 21:27:32 UTC; haochen
Repository: CRAN
Date/Publication: 2019-05-01 22:00:03 UTC
Built: R 4.6.0; ; 2026-04-25 19:25:11 UTC; unix
