Package: trendsegmentR 1.3.2
trendsegmentR: Linear Trend Segmentation
Performs the detection of linear trend changes for univariate time series by implementing the bottom-up unbalanced wavelet transformation proposed by H. Maeng and P. Fryzlewicz (2023). The estimated number and locations of the change-points are returned with the piecewise-linear estimator for signal.
Authors:
trendsegmentR_1.3.2.tar.gz
trendsegmentR_1.3.2.zip(r-4.7-any)trendsegmentR_1.3.2.zip(r-4.6-any)trendsegmentR_1.3.2.zip(r-4.5-any)
trendsegmentR_1.3.2.tgz(r-4.6-any)trendsegmentR_1.3.2.tgz(r-4.5-any)
trendsegmentR_1.3.2.tar.gz(r-4.7-any)trendsegmentR_1.3.2.tar.gz(r-4.6-any)
trendsegmentR_1.3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
trendsegmentR/json (API)
| # Install 'trendsegmentR' in R: |
| install.packages('trendsegmentR', repos = c('https://hmaeng.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a219ccd1e8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 97 | ||
| source / vignettes | OK | 121 | ||
| linux-release | OK | 88 | ||
| macos-release | OK | 163 | ||
| macos-oldrel | OK | 160 | ||
| windows-devel | OK | 45 | ||
| windows-release | OK | 56 | ||
| windows-oldrel | OK | 44 | ||
| wasm-release | OK | 68 |
Exports:invTGUWTGUWthresholdingtrendsegment
Dependencies:
