CWT: Continuous Wavelet Transformation for Spectroscopy

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. ORCID iD [cre, aut, cph]
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

Documentation:

Reference manual: CWT.pdf

Downloads:

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

Linking:

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