Package: trendsegmentR 1.3.0
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_1.3.0.tar.gz
trendsegmentR_1.3.0.zip(r-4.5)trendsegmentR_1.3.0.zip(r-4.4)trendsegmentR_1.3.0.zip(r-4.3)
trendsegmentR_1.3.0.tgz(r-4.4-any)trendsegmentR_1.3.0.tgz(r-4.3-any)
trendsegmentR_1.3.0.tar.gz(r-4.5-noble)trendsegmentR_1.3.0.tar.gz(r-4.4-noble)
trendsegmentR_1.3.0.tgz(r-4.4-emscripten)trendsegmentR_1.3.0.tgz(r-4.3-emscripten)
trendsegmentR.pdf |trendsegmentR.html✨
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 1 years agofrom:e5eabea297. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 16 2024 |
| R-4.5-win | OK | Nov 16 2024 |
| R-4.5-linux | OK | Nov 16 2024 |
| R-4.4-win | OK | Nov 16 2024 |
| R-4.4-mac | OK | Nov 16 2024 |
| R-4.3-win | OK | Nov 16 2024 |
| R-4.3-mac | OK | Nov 16 2024 |
Exports:invTGUWTGUWthresholdingtrendsegment
Dependencies:
