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. [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_0.1.1.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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