The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
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.
| Version: | 1.0.2 |
| Depends: | R (≥ 4.1.0) |
| Imports: | wavethresh, locits |
| Suggests: | testthat (≥ 3.0.0), vdiffr |
| Published: | 2024-04-30 |
| DOI: | 10.32614/CRAN.package.TrendLSW |
| Author: | Euan T. McGonigle [aut, cre], Rebecca Killick [aut], Matthew Nunes [aut] |
| Maintainer: | Euan T. McGonigle <e.t.mcgonigle at soton.ac.uk> |
| BugReports: | https://github.com/EuanMcGonigle/TrendLSW/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/EuanMcGonigle/TrendLSW |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | TrendLSW results |
| Reference manual: | TrendLSW.pdf |
| Package source: | TrendLSW_1.0.2.tar.gz |
| Windows binaries: | r-devel: TrendLSW_1.0.2.zip, r-release: TrendLSW_1.0.2.zip, r-oldrel: TrendLSW_1.0.2.zip |
| macOS binaries: | r-release (arm64): TrendLSW_1.0.2.tgz, r-oldrel (arm64): TrendLSW_1.0.2.tgz, r-release (x86_64): TrendLSW_1.0.2.tgz, r-oldrel (x86_64): TrendLSW_1.0.2.tgz |
| Old sources: | TrendLSW archive |
Please use the canonical form https://CRAN.R-project.org/package=TrendLSW to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.