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: 0.2-0
Depends: R (≥ 2.10)
Imports: multiway (≥ 1.0-4), pracma, lattice, parallel
Published: 2020-11-30
Author: Ivan Krylov [aut, cre], Timur Labutin [ths]
Maintainer: Ivan Krylov <ikrylov at laser.chem.msu.ru>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: albatross citation info
Materials: NEWS
CRAN checks: albatross results

Downloads:

Reference manual: albatross.pdf
Package source: albatross_0.2-0.tar.gz
Windows binaries: r-devel: albatross_0.1-2.zip, r-release: albatross_0.2-0.zip, r-oldrel: albatross_0.1-2.zip
macOS binaries: r-release: albatross_0.1-2.tgz, r-oldrel: albatross_0.1-2.tgz
Old sources: albatross archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=albatross to link to this page.