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albatross  

PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
View on CRAN: Click here


Download and install albatross package within the R console
Install from CRAN:
install.packages("albatross")

Install from Github:
library("remotes")
install_github("cran/albatross")

Install by package version:
library("remotes")
install_version("albatross", "0.3-9")



Attach the package and use:
library("albatross")
Maintained by
Ivan Krylov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-09-25
Latest Update: 2024-05-07
Description:
Perform parallel factor analysis (PARAFAC: Hitchcock, 1927) 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.
How to cite:
Ivan Krylov (2020). albatross: PARAFAC Analysis of Fluorescence Excitation-Emission Matrices. R package version 0.3-9, https://cran.r-project.org/web/packages/albatross. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:17), 0.1-1 (2020-09-25 16:00), 0.1-2 (2020-10-02 14:42), 0.2-0 (2020-11-30 23:30), 0.3-0 (2021-03-27 02:00), 0.3-1 (2021-04-03 15:50), 0.3-2 (2021-07-14 22:10), 0.3-4 (2022-02-26 00:30), 0.3-5 (2022-10-06 12:10), 0.3-6 (2023-07-17 07:20), 0.3-7 (2023-11-10 22:03), 0.3-8 (2024-05-07 17:50)
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