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-4.4-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'))

Peer review:

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

On CRAN:

3.31 score 5 stars 41 scripts 782 downloads 1 mentions 2 exports 4 dependencies

Last updated 4 years agofrom:775522c0d6. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 03 2024
R-4.5-win-x86_64ERRORNov 03 2024
R-4.5-linux-x86_64ERRORNov 03 2024
R-4.4-win-x86_64ERRORNov 03 2024
R-4.4-mac-x86_64ERRORNov 03 2024
R-4.4-mac-aarch64ERRORNov 03 2024
R-4.3-win-x86_64ERRORNov 03 2024
R-4.3-mac-x86_64ERRORNov 03 2024
R-4.3-mac-aarch64ERRORNov 03 2024

Exports:AICweightsenvcpt

Dependencies:changepointlatticeMASSzoo