Package: TrendLSW 1.0.2.9000
TrendLSW: Wavelet Methods for Analysing Locally Stationary Time Series
Fitting models for, and simulation of, trend locally stationary wavelet (TLSW) time series models, which take account of time-varying trend and dependence structure in a univariate time series. The TLSW model, and its estimation, is described in McGonigle, Killick and Nunes (2022a) <doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. New users will likely want to start with the TLSW function.
Authors:
TrendLSW_1.0.2.9000.tar.gz
TrendLSW_1.0.2.9000.zip(r-4.5)TrendLSW_1.0.2.9000.zip(r-4.4)TrendLSW_1.0.2.9000.zip(r-4.3)
TrendLSW_1.0.2.9000.tgz(r-4.4-any)TrendLSW_1.0.2.9000.tgz(r-4.3-any)
TrendLSW_1.0.2.9000.tar.gz(r-4.5-noble)TrendLSW_1.0.2.9000.tar.gz(r-4.4-noble)
TrendLSW_1.0.2.9000.tgz(r-4.4-emscripten)TrendLSW_1.0.2.9000.tgz(r-4.3-emscripten)
TrendLSW.pdf |TrendLSW.html✨
TrendLSW/json (API)
| # Install 'TrendLSW' in R: |
| install.packages('TrendLSW', repos = c('https://euanmcgonigle.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/euanmcgonigle/trendlsw/issues
- celegensbio - Bioluminescence of C. Elegens
- z.acc - Z-Axis Acceleration for Human Activity Monitoring
- z.labels - Activity Labels for Human Activity Monitoring
nonparametric-regressionspectral-analysisspectrumtime-seriestime-series-analysiswavelets
Last updated 7 months agofrom:638f22a1a2. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 27 2024 |
| R-4.5-win | OK | Oct 27 2024 |
| R-4.5-linux | OK | Oct 27 2024 |
| R-4.4-win | OK | Oct 27 2024 |
| R-4.4-mac | OK | Oct 27 2024 |
| R-4.3-win | OK | Oct 27 2024 |
| R-4.3-mac | OK | Oct 27 2024 |
Dependencies:clicpp11glueigraphlatticelifecyclelocitsmagrittrMASSMatrixpkgconfigrlangvctrswavethresh
