albatross: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices

Perform parallel factor analysis (PARAFAC: Hitchcock, 1927) <doi:10.1002/sapm192761164> on fluorescence excitation-emission matrices: handle scattering signal and inner filter effect, scale the dataset, fit the model; perform split-half validation or jack-knifing. Modified approaches such as Whittaker interpolation, randomised split-half, and fluorescence and scattering model estimation are also available. The package has a low dependency footprint and has been tested on a wide range of R versions.

Version: 0.3-8
Depends: R (≥ 3.3)
Imports: multiway (≥ 1.0-4), CMLS, pracma, lattice, parallel, Matrix
Enhances: eemR, EEM
Published: 2024-05-07
DOI: 10.32614/CRAN.package.albatross
Author: Ivan Krylov [aut, cre], Timur Labutin [ths], Anastasia Drozdova [rev]
Maintainer: Ivan Krylov <ikrylov at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: albatross citation info
Materials: NEWS
In views: ChemPhys
CRAN checks: albatross results


Reference manual: albatross.pdf


Package source: albatross_0.3-8.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): albatross_0.3-8.tgz, r-oldrel (arm64): albatross_0.3-8.tgz, r-release (x86_64): albatross_0.3-8.tgz, r-oldrel (x86_64): albatross_0.3-8.tgz
Old sources: albatross archive


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