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.


Reference manual

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1.0.12 by Matthias Pucher, a month ago

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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

Depends on ggplot2, eemR, parallel

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

See at CRAN