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:	0.3-4
Depends:	R (≥ 3.3)
Imports:	multiway (≥ 1.0-4), CMLS, pracma, lattice, parallel, Matrix
Enhances:	eemR, EEM
Published:	2022-02-25
Author:	Ivan Krylov [aut, cre], Timur Labutin [ths], Anastasia Drozdova [rev]
Maintainer:	Ivan Krylov <ikrylov at laser.chem.msu.ru>
License:	GPL (≥ 3)
NeedsCompilation:	no
Citation:	albatross citation info
Materials:	NEWS
CRAN checks:	albatross results

Documentation:

Reference manual:

albatross.pdf

Downloads:

Package source:	albatross_0.3-4.tar.gz
Windows binaries:	r-devel: albatross_0.3-4.zip, r-release: albatross_0.3-4.zip, r-oldrel: albatross_0.3-4.zip
macOS binaries:	r-release (arm64): albatross_0.3-4.tgz, r-oldrel (arm64): albatross_0.3-4.tgz, r-release (x86_64): albatross_0.3-4.tgz, r-oldrel (x86_64): albatross_0.3-4.tgz
Old sources:	albatross archive

Linking:

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