Package: mSTEM 1.0-1

Zhibing He

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>.

Authors:Zhibing He and Dan Cheng

mSTEM_1.0-1.tar.gz
mSTEM_1.0-1.tar.gz(r-4.5-noble)mSTEM_1.0-1.tar.gz(r-4.4-noble)
mSTEM_1.0-1.tgz(r-4.4-emscripten)mSTEM_1.0-1.tgz(r-4.3-emscripten)
mSTEM.pdf |mSTEM.html
mSTEM/json (API)

# Install 'mSTEM' in R:
install.packages('mSTEM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 1 scripts 102 downloads 11 exports 13 dependencies

Last updated 5 years agofrom:a4d566139c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 13 2024
R-4.5-linuxOKDec 13 2024

Exports:ch.estconvFdrfdr.gamfdrBHGenDYGenMuGenZillu.plotwhich.cpwhich.peaks

Dependencies:clicodetoolsdoParallelforeachglueiteratorslatex2explifecyclemagrittrrlangstringistringrvctrs