albatross: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices

Perform parallel factor analysis (PARAFAC: Hitchcock, 1927) <doi:10.1002/sapm192761164> on fluorescence excitation-emission matrices (FEEMs): handle scattering signal and inner filter effect, scale the dataset, fit the model; perform split-half validation or jack-knifing. A modified approach called "randomised split-half" is also available. The package has a low dependency footprint (only two direct dependencies not in core or recommended; four total non-core/recommended dependencies) and has been tested on a wide range of R versions (including R as old as 3.3.3 from Debian Stretch).

Version: 0.3-2
Depends: R (≥ 3.3)
Imports: multiway (≥ 1.0-4), pracma, lattice, parallel, Matrix
Enhances: eemR, EEM
Published: 2021-07-14
Author: Ivan Krylov [aut, cre], Timur Labutin [ths]
Maintainer: Ivan Krylov <ikrylov at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: albatross citation info
Materials: NEWS
CRAN checks: albatross results


Reference manual: albatross.pdf


Package source: albatross_0.3-2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): albatross_0.3-2.tgz, r-release (x86_64): albatross_0.3-2.tgz, r-oldrel: albatross_0.3-2.tgz
Old sources: albatross archive


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