ASICS: Automatic Statistical Identification in Complex Spectra

With a set of pure metabolite spectra, ASICS quantifies metabolites concentration in a complex spectrum. The identification of metabolites is performed by fitting a mixture model to the spectra of the library with a sparse penalty. The method and its statistical properties are described in Tardivel et al. (2017) <doi:10.1007/s11306-017-1244-5>.

Version: 1.0.1
Depends: R (≥ 2.14)
Imports: doParallel, ggplot2, foreach, methods, parallel, plyr, quadprog, zoo
Suggests: knitr, rmarkdown
Published: 2018-01-23
Author: Gaëlle Lefort [aut, cre], Rémi Sevien [aut], Patrick Tardivel [aut], Nathalie Villa-Vialaneix [aut]
Maintainer: Gaëlle Lefort <gaelle.lefort at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ASICS citation info
Materials: NEWS
CRAN checks: ASICS results


Reference manual: ASICS.pdf
Vignettes: ASICS
Package source: ASICS_1.0.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: ASICS_1.0.1.tgz
OS X Mavericks binaries: r-oldrel: ASICS_1.0.0.tgz
Old sources: ASICS archive


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