<p>PARAFAC model, see vignette, non-negative constraints, normalised, outliers removed, high accuarcy</p>

datasets

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.

Matthias Pucher

staRdom

PARAFAC Analysis of EEMs from DOM

Daniel Graeber

Stefan Preiner

Renata Pinto

pf4 function

Format

PARAFAC model, see vignette, non-negative constraints, normalised, outliers removed, high accuarcy — pf4

PARAFAC model, see vignette, non-negative constraints, normalised, outliers removed, high accuarcy

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pf4: PARAFAC model, see vignette, non-negative constraints, normalised, outliers removed, high accuarcy

Description

Usage

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Format