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: 1.1-1
Depends: R (≥ 3.6.0), RNetCDF, ptw, mixOmics
Imports: colorRamps, Rdpack, stats, methods, graphics
Suggests: knitr, rmarkdown, lattice, MASS, caret, rgl, prettydoc
Published: 2020-03-25
Author: Cristian Quiroz-Moreno [aut, cre], Guilherme L. Alexandrino [aut], Noroska G.S. Mogollón [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
NeedsCompilation: no
Citation: RGCxGC citation info
CRAN checks: RGCxGC results


Reference manual: RGCxGC.pdf
Vignettes: Introduction to RGCxGC package
Package source: RGCxGC_1.1-1.tar.gz
Windows binaries: r-devel: RGCxGC_1.1.0.zip, r-devel-gcc8: RGCxGC_1.1.0.zip, r-release: RGCxGC_1.1.0.zip, r-oldrel: RGCxGC_1.1.0.zip
OS X binaries: r-release: RGCxGC_1.1.0.tgz, r-oldrel: RGCxGC_1.1.0.tgz
Old sources: RGCxGC archive


Please use the canonical form https://CRAN.R-project.org/package=RGCxGC to link to this page.