Package: RChest 1.0.3

Lukas Zierahn

RChest: Locating Distributional Changes in Highly Dependent Time Series

Provides algorithms to locate multiple distributional change-points in piecewise stationary time series. The algorithms are provably consistent, even in the presence of long-range dependencies. Knowledge of the number of change-points is not required. The code is written in Go and interfaced with R.

Authors:Lukas Zierahn [cre, aut], Azadeh Khaleghi [aut]

RChest_1.0.3.tar.gz
RChest_1.0.3.zip(r-4.5)RChest_1.0.3.zip(r-4.4)RChest_1.0.3.zip(r-4.3)
RChest_1.0.3.tgz(r-4.4-any)RChest_1.0.3.tgz(r-4.3-any)
RChest_1.0.3.tar.gz(r-4.5-noble)RChest_1.0.3.tar.gz(r-4.4-noble)
RChest_1.0.3.tgz(r-4.4-emscripten)RChest_1.0.3.tgz(r-4.3-emscripten)
RChest.pdf |RChest.html✨
RChest/json (API)
NEWS

# Install 'RChest' in R:

install.packages('RChest', repos = c('https://azalk.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/azalk/gochest/issues

On CRAN:

changepoints consistent ergodic long-range-dependence stationary time-series

3.00 score 2 stars 1 scripts 118 downloads 3 exports 14 dependencies

Last updated 3 years agofrom:afe9aaf7a8. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 19 2024
R-4.5-win	NOTE	Nov 19 2024
R-4.5-linux	NOTE	Nov 19 2024
R-4.4-win	NOTE	Nov 19 2024
R-4.4-mac	NOTE	Nov 19 2024
R-4.3-win	NOTE	Nov 19 2024
R-4.3-mac	NOTE	Nov 19 2024