Package: TrendLSW 1.0.6
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>. Further information regarding the use of the package, along with detailed examples, can be found in McGonigle, Killick and Nunes (2025) <doi:10.18637/jss.v115.i10>. New users will likely want to start with the TLSW function.
Authors:
TrendLSW_1.0.6.tar.gz
TrendLSW_1.0.6.zip(r-4.7-any)TrendLSW_1.0.6.zip(r-4.6-any)TrendLSW_1.0.6.zip(r-4.5-any)
TrendLSW_1.0.6.tgz(r-4.6-any)TrendLSW_1.0.6.tgz(r-4.5-any)
TrendLSW_1.0.6.tar.gz(r-4.7-any)TrendLSW_1.0.6.tar.gz(r-4.6-any)
TrendLSW_1.0.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
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
- celegansbio - Bioluminescence of C. Elegans
- 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 from:2f1bc31abf. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 143 | ||
| source / vignettes | OK | 182 | ||
| linux-release | OK | 129 | ||
| macos-release | OK | 199 | ||
| macos-oldrel | OK | 203 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 72 | ||
| wasm-release | OK | 96 |
Dependencies:clicpp11glueigraphlatticelifecyclelocitsmagrittrMASSMatrixpkgconfigrlangvctrswavethresh
