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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) <doi:10.48550/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 asu.edu> |
| License: | GPL-3 |
| URL: | https://arxiv.org/abs/1504.06384 |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | mSTEM results |
| Reference manual: | mSTEM.pdf |
| Package source: | mSTEM_1.0-1.tar.gz |
| Windows binaries: | r-devel: mSTEM_1.0-1.zip, r-release: mSTEM_1.0-1.zip, r-oldrel: mSTEM_1.0-1.zip |
| macOS binaries: | r-release (arm64): mSTEM_1.0-1.tgz, r-oldrel (arm64): mSTEM_1.0-1.tgz, r-release (x86_64): mSTEM_1.0-1.tgz, r-oldrel (x86_64): mSTEM_1.0-1.tgz |
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