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.
Implementations of recent complex-valued wavelet spectral procedures for analysis of irregularly sampled signals, see Hamilton et al (2018) <doi:10.1080/00401706.2017.1281846>.
| Version: | 0.1-2 |
| Depends: | R (≥ 3.1), adlift, nlt, CNLTreg, fields |
| Published: | 2018-07-18 |
| Author: | Jean Hamilton [aut], Matt Nunes [aut, cre], Marina Knight [ctb], Piotr Fryzlewicz [ctb] |
| Maintainer: | Matt Nunes <nunesrpackages at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | no |
| In views: | TimeSeries |
| CRAN checks: | CNLTtsa results |
| Reference manual: | CNLTtsa.pdf |
| Package source: | CNLTtsa_0.1-2.tar.gz |
| Windows binaries: | r-devel: CNLTtsa_0.1-2.zip, r-release: CNLTtsa_0.1-2.zip, r-oldrel: CNLTtsa_0.1-2.zip |
| macOS binaries: | r-release (arm64): CNLTtsa_0.1-2.tgz, r-oldrel (arm64): CNLTtsa_0.1-2.tgz, r-release (x86_64): CNLTtsa_0.1-2.tgz, r-oldrel (x86_64): CNLTtsa_0.1-2.tgz |
| Old sources: | CNLTtsa archive |
Please use the canonical form https://CRAN.R-project.org/package=CNLTtsa 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.