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albatross

PARAFAC Analysis of Fluorescence Excitation-Emission Matrices

Installation

About

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.

Citation albatross citation info

Key Metrics

Version 0.3-7
R ≥ 3.3
Published 2023-11-10 168 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks albatross results

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Maintainer

Maintainer

Ivan Krylov

ikrylov@laser.chem.msu.ru

Authors

Ivan Krylov

aut / cre

Timur Labutin

ths

Anastasia Drozdova

rev

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

albatross archive

Depends

R ≥ 3.3

Imports

multiway ≥ 1.0-4
CMLS
pracma
lattice
parallel
Matrix

Enhances

eemR
EEM