PARAFAC Analysis of EEMs from DOM

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


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install.packages("staRdom")

1.0.14 by Matthias Pucher, 2 months ago


https://cran.r-project.org/package=staRdom


Report a bug at https://github.com/MatthiasPucher/staRdom/issues


Browse source code at https://github.com/cran/staRdom


Authors: Matthias Pucher [aut, cre] , Daniel Graeber [aut, ctb] , Stefan Preiner [ctb] , Renata Pinto [ctb]


Documentation:   PDF Manual  


AGPL license


Imports dplyr, tidyr, stringr, pracma, zoo, tibble, multiway, GGally, graphics, doParallel, drc, foreach, data.table, matrixStats, MBA, cdom, R.matlab, readr

Depends on ggplot2, eemR, parallel

Suggests plotly, xlsx, knitr, kableExtra, rmarkdown, knitcitations


See at CRAN