Package: CWT 0.2.3

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.

Authors:J. Antonio Guzmán Q. [cre, aut, cph]

CWT_0.2.3.tar.gz
CWT_0.2.3.zip(r-4.7-x86_64)CWT_0.2.3.zip(r-4.7-arm64)CWT_0.2.3.zip(r-4.6-x86_64)CWT_0.2.3.zip(r-4.6-arm64)CWT_0.2.3.zip(r-4.5-x86_64)
CWT_0.2.3.tgz(r-4.6-x86_64)CWT_0.2.3.tgz(r-4.6-arm64)CWT_0.2.3.tgz(r-4.5-x86_64)CWT_0.2.3.tgz(r-4.5-arm64)
CWT_0.2.3.tar.gz(r-4.7-arm64)CWT_0.2.3.tar.gz(r-4.7-x86_64)CWT_0.2.3.tar.gz(r-4.6-arm64)CWT_0.2.3.tar.gz(r-4.6-x86_64)
CWT_0.2.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
CWT/json (API)

# Install 'CWT' in R:

install.packages('CWT', repos = c('https://antguz.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/antguz/cwt/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

2.70 score 1 stars 2 scripts 305 downloads 2 exports 3 dependencies

Last updated from:29d626a126. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	125
linux-devel-x86_64	OK	112
source / vignettes	OK	157
linux-release-arm64	OK	98
linux-release-x86_64	OK	123
macos-release-arm64	OK	145
macos-release-x86_64	OK	295
macos-oldrel-arm64	OK	217
macos-oldrel-x86_64	OK	315
windows-devel-arm64	OK	354
windows-devel-x86_64	OK	134
windows-release-arm64	OK	346
windows-release-x86_64	OK	100
windows-oldrel-x86_64	OK	104
wasm-release	OK	97