speaq2: Wavelet Based Tools for Feature-Wise Analysis and Quantification of Nuclear Magnetic Resonance (NMR) Spectra

Tools for feature based analysis of Nuclear Magnetic Resonance (NMR) spectra. Wavelets are used to quantify the peaks which are grouped into features with hierarchical clustering. The results can easily be incorporated in large-scale studies that include LC-MS analysis (as this is also peak/feature based).

Version: 0.1.0
Depends: R (≥ 2.15)
Imports: MassSpecWavelet, mQTL, parallel, doSNOW, data.table, foreach, stats, cluster, utils, graphics, grDevices
Suggests: datasets, speaq, knitr, rmarkdown, grid, gridExtra, gridBase, ggplot2
Published: 2016-11-15
Author: Charlie Beirnaert, Kris Laukens
Maintainer: Charlie Beirnaert <charlie.beirnaert at uantwerpen.be>
License: GPL-3
NeedsCompilation: no
CRAN checks: speaq2 results


Reference manual: speaq2.pdf
Vignettes: How to process an NMR dataset with speaq2
Package source: speaq2_0.1.0.tar.gz
Windows binaries: r-devel: speaq2_0.1.0.zip, r-release: speaq2_0.1.0.zip, r-oldrel: speaq2_0.1.0.zip
OS X Mavericks binaries: r-release: speaq2_0.1.0.tgz, r-oldrel: not available


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