Package: EnvCpt 1.1.3

Rebecca Killick

EnvCpt: Detection of Structural Changes in Climate and Environment Time Series

Tools for automatic model selection and diagnostics for Climate and Environmental data. In particular the envcpt() function does automatic model selection between a variety of trend, changepoint and autocorrelation models. The envcpt() function should be your first port of call.

Authors:Rebecca Killick [aut, cre], Claudie Beaulieu [aut], Simon Taylor [aut], Harjit Hullait [aut]

EnvCpt_1.1.3.tar.gz
EnvCpt_1.1.3.zip(r-4.5)EnvCpt_1.1.3.zip(r-4.4)EnvCpt_1.1.3.zip(r-4.3)
EnvCpt_1.1.3.tgz(r-4.5-x86_64)EnvCpt_1.1.3.tgz(r-4.5-arm64)EnvCpt_1.1.3.tgz(r-4.4-x86_64)EnvCpt_1.1.3.tgz(r-4.4-arm64)EnvCpt_1.1.3.tgz(r-4.3-x86_64)EnvCpt_1.1.3.tgz(r-4.3-arm64)
EnvCpt_1.1.3.tar.gz(r-4.5-noble)EnvCpt_1.1.3.tar.gz(r-4.4-noble)
EnvCpt_1.1.3.tgz(r-4.4-emscripten)EnvCpt_1.1.3.tgz(r-4.3-emscripten)
EnvCpt.pdf |EnvCpt.html✨
EnvCpt/json (API)
NEWS

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

Bug tracker:https://github.com/rkillick/envcpt/issues

On CRAN:

3.34 score 5 stars 44 scripts 864 downloads 1 mentions 2 exports 4 dependencies

Last updated 4 years agofrom:775522c0d6. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-win-x86_64NOTEFeb 01 2025
R-4.5-mac-x86_64NOTEFeb 01 2025
R-4.5-mac-aarch64NOTEFeb 01 2025
R-4.5-linux-x86_64NOTEFeb 01 2025
R-4.4-win-x86_64NOTEFeb 01 2025
R-4.4-mac-x86_64NOTEFeb 01 2025
R-4.4-mac-aarch64NOTEFeb 01 2025
R-4.3-win-x86_64NOTEFeb 01 2025
R-4.3-mac-x86_64NOTEFeb 01 2025
R-4.3-mac-aarch64NOTEFeb 01 2025

Exports:AICweightsenvcpt

Dependencies:changepointlatticeMASSzoo