Fast application of Continuous Wavelet Transformation ('CWT') on time series with special attention to spectroscopy. It is written using data.table and 'C++' language and in some functions it is possible to use parallel processing to speed-up the computation over samples. Currently, only the second derivative of a Gaussian wavelet function is implemented.
| Version: | 0.2.1 |
| Depends: | R (≥ 4.0.0) |
| Imports: | data.table (≥ 1.14.0), Rcpp |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | testthat (≥ 3.2.0) |
| Published: | 2024-06-28 |
| DOI: | 10.32614/CRAN.package.CWT |
| Author: | J. Antonio Guzmán Q.
|
| Maintainer: | J. Antonio Guzmán Q. <antguz06 at gmail.com> |
| BugReports: | https://github.com/Antguz/CWT/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Antguz/CWT |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | CWT results |
| Reference manual: | CWT.html , CWT.pdf |
| Package source: | CWT_0.2.1.tar.gz |
| Windows binaries: | r-devel: CWT_0.2.1.zip, r-release: CWT_0.2.1.zip, r-oldrel: CWT_0.2.1.zip |
| macOS binaries: | r-release (arm64): CWT_0.2.1.tgz, r-oldrel (arm64): CWT_0.2.1.tgz, r-release (x86_64): CWT_0.2.1.tgz, r-oldrel (x86_64): CWT_0.2.1.tgz |
| Old sources: | CWT archive |
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