mSTEM: Multiple Testing of Local Extrema for Detection of Change Points

A new approach to detect change points based on smoothing and multiple testing, which is for long data sequence modeled as piecewise constant functions plus stationary Gaussian noise, see Dan Cheng and Armin Schwartzman (2015) <arXiv:1504.06384>.

Version: 1.0-1
Depends: R (≥ 3.1.0)
Imports: parallel, foreach, doParallel, latex2exp
Published: 2019-10-02
Author: Zhibing He and Dan Cheng
Maintainer: Zhibing He <zhibingh at>
License: GPL-3
NeedsCompilation: no
Materials: README
CRAN checks: mSTEM results


Reference manual: mSTEM.pdf


Package source: mSTEM_1.0-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mSTEM_1.0-1.tgz, r-release (x86_64): mSTEM_1.0-1.tgz, r-oldrel: mSTEM_1.0-1.tgz


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