staRdom: PARAFAC Analysis of EEMs from DOM

This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.

Version: 1.0.5
Depends: R (≥ 3.3), dplyr (≥ 0.7.4), tidyr (≥ 0.7.1), ggplot2 (≥ 2.2.1), eemR (≥ 0.1.5)
Imports: stringr (≥ 1.2.0), pracma (≥ 2.1.1), tools (≥ 3.3), readr (≥ 1.1.1), zoo (≥ 1.8), tibble (≥ 1.3), multiway (≥ 1.0), plotly (≥ 4.7), parallel (≥ 3.4), GGally (≥ 1.3), graphics (≥ 3.3), doParallel (≥ 1.0.11), drc (≥ 3.0-1), foreach (≥ 1.4.4)
Suggests: xlsx, knitr, kableExtra, rmarkdown, knitcitations
Published: 2018-05-02
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb], Nora Maria Zechmeister [ctb] (creator of logo), Christoph Zechmeister [ctb] (creator of logo)
Maintainer: Matthias Pucher <matthias.pucher at wcl.ac.at>
BugReports: https://github.com/MatthiasPucher/staRdom/issues
License: AGPL
URL: https://github.com/MatthiasPucher/staRdom
NeedsCompilation: no
Citation: staRdom citation info
Materials: README
CRAN checks: staRdom results

Downloads:

Reference manual: staRdom.pdf
Vignettes: Correcting raw data, Calculating peaks and indices in EEMS and absorbance (slope) parameters
PARAFAC analysis of EEM data to separate DOM components
Package source: staRdom_1.0.5.tar.gz
Windows binaries: r-devel: staRdom_1.0.5.zip, r-release: staRdom_1.0.5.zip, r-oldrel: staRdom_1.0.5.zip
OS X binaries: r-release: staRdom_1.0.5.tgz, r-oldrel: staRdom_1.0.3.tgz
Old sources: staRdom archive

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