Package: albatross
Type: Package
Title: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
Version: 0.3-1
Date: 2021-03-29
Authors@R: c(person('Ivan', 'Krylov', role = c('aut', 'cre'), email =
	'ikrylov@laser.chem.msu.ru'), person('Timur', 'Labutin', role = 'ths'))
Depends: R (>= 3.3)
Imports: multiway (>= 1.0-4), pracma, lattice, parallel, Matrix
Enhances: eemR, EEM
Description: 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).
License: GPL (>= 3)
NeedsCompilation: no
Packaged: 2021-03-29 14:48:22 UTC; nobody
Author: Ivan Krylov [aut, cre],
  Timur Labutin [ths]
Maintainer: Ivan Krylov <ikrylov@laser.chem.msu.ru>
Repository: CRAN
Date/Publication: 2021-04-03 13:50:18 UTC
