Package: jcp 2.0

Michael Messer

jcp: Joint Change Point Detection

Procedures for joint detection of changes in both expectation and variance in univariate sequences. Performs a statistical test of the null hypothesis of the absence of change points. In case of rejection performs an algorithm for change point detection. Reference - Bivariate change point detection - joint detection of changes in expectation and variance, Scandinavian Journal of Statistics, <doi:10.1111/sjos.12547>.

Authors:Michael Messer [aut, cre]

jcp_2.0.tar.gz
jcp_2.0.zip(r-4.7-any)jcp_2.0.zip(r-4.6-any)
jcp_2.0.tar.gz(r-4.7-any)jcp_2.0.tar.gz(r-4.6-any)
jcp_2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
jcp/json (API)

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

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

1.00 score 4 scripts 184 downloads 1 exports 0 dependencies

Last updated from:8ee42d0834. Checks:6 OK. Indexed: yes.

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linux-develOK98
source / vignettesOK155
linux-releaseOK109
windows-develOK58
windows-releaseOK58
wasm-releaseOK99

Exports:jcp

Dependencies:

Readme and manuals

Help Manual

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