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: 2026-09-25 07:24:49 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2019-05-01 21:00:03 UTC
RemoteUrl: https://github.com/cran/gStream
RemoteRef: HEAD
RemoteSha: 6910248ceef46d32f0f68db92b35b41b49ef09a4