The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 1.1.28
Depends: R (≥ 4.3), ggplot2 (≥ 3.4.2), eemR (≥ 1.0.1), parallel (≥ 4.3)
Imports: dplyr (≥ 1.1.2), tidyr (≥ 1.3.0), stringr (≥ 1.5.0), pracma (≥ 2.3.3), zoo (≥ 1.8-12), tibble (≥ 3.2.1), multiway (≥ 1.0-6), GGally (≥ 2.1.2), graphics (≥ 4.3), doParallel (≥ 1.0.16), drc (≥ 3.0-1), foreach (≥ 1.5.1), data.table (≥ 1.14.8), matrixStats (≥ 1.0.0), MBA (≥ 0.1-0), cdom (≥ 0.1.0), R.matlab (≥ 3.7.0), readr (≥ 2.1.4), gtools (≥ 3.9.4), viridisLite (≥ 0.4.2)
Suggests: plotly (≥ 4.9.3), xlsx (≥ 0.6.5), knitr (≥ 1.31), kableExtra (≥ 1.3.4), askpass (≥ 1.1), httr (≥ 1.4.2), rmarkdown (≥ 2.6)
Published: 2023-06-16
Author: Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher at gmx.net>
BugReports: https://github.com/MatthiasPucher/staRdom/issues
License: AGPL
URL: https://cran.r-project.org/package=staRdom
NeedsCompilation: no
Citation: staRdom citation info
Materials: README
CRAN checks: staRdom results

Documentation:

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 in R

Downloads:

Package source: staRdom_1.1.28.tar.gz
Windows binaries: r-devel: staRdom_1.1.28.zip, r-release: staRdom_1.1.28.zip, r-oldrel: staRdom_1.1.28.zip
macOS binaries: r-release (arm64): staRdom_1.1.28.tgz, r-oldrel (arm64): staRdom_1.1.28.tgz, r-release (x86_64): staRdom_1.1.28.tgz, r-oldrel (x86_64): staRdom_1.1.28.tgz
Old sources: staRdom archive

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.