RGCxGC: Preprocessing and Multivariate Analysis of Bidimensional Gas Chromatography Data

Toolbox for chemometrics analysis of bidimensional gas chromatography data. This package import data for common scientific data format (NetCDF) and fold it to 2D chromatogram. Then, it can perform preprocessing and multivariate analysis. In the preprocessing algorithms, baseline correction, smoothing, and peak alignment are available. While in multivariate analysis, multiway principal component analysis is incorporated.

Version: 1.2.0
Depends: R (≥ 4.2.0), RNetCDF, ptw
Imports: colorRamps, Rdpack, stats, methods, graphics
Suggests: knitr, rmarkdown, lattice, prettydoc
Published: 2022-12-14
Author: Cristian Quiroz-Moreno ORCID iD [aut, cre], Guilherme L. Alexandrino ORCID iD [aut], Noroska G.S. Mogollón ORCID iD [aut]
Maintainer: Cristian Quiroz-Moreno <cristianquirozd1997 at gmail.com>
BugReports: https://github.com/DanielQuiroz97/RGCxGC/issues
License: MIT + file LICENSE
URL: https://github.com/DanielQuiroz97/RGCxGC, https://danielquiroz97.github.io/RGCxGC/
NeedsCompilation: no
Citation: RGCxGC citation info
Materials: NEWS
In views: ChemPhys
CRAN checks: RGCxGC results

Documentation:

Reference manual: RGCxGC.pdf
Vignettes: Introduction to RGCxGC package

Downloads:

Package source: RGCxGC_1.2.0.tar.gz
Windows binaries: r-devel: RGCxGC_1.2.0.zip, r-release: RGCxGC_1.2.0.zip, r-oldrel: RGCxGC_1.2.0.zip
macOS binaries: r-release (arm64): RGCxGC_1.2.0.tgz, r-oldrel (arm64): RGCxGC_1.2.0.tgz, r-release (x86_64): RGCxGC_1.2.0.tgz
Old sources: RGCxGC archive

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