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albatross (version 0.3-5)

PARAFAC Analysis of Fluorescence Excitation-Emission Matrices

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.

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Version

Install

install.packages('albatross')

Monthly Downloads

537

Version

0.3-5

License

GPL (>= 3)

Maintainer

Ivan Krylov

Last Published

October 6th, 2022

Functions in albatross (0.3-5)

Interpolate FEEMs on a given wavelength grid

albatross-package

tools:::Rd_package_title("albatross")

as.data.frame.feem

Transform a FEEM object into a data.frame

Absorbance-based inner filter effect correction

Extract or replace parts of FEEM cubes

Create a fluorescence excitation-emission matrix object

Implementation notes for constrained matrix factorisation

Data cubes of fluorescence excitation-emission matrices

Extract or replace parts of FEEM objects

Fluorescence and scAttering Model Estimation

Create lists of FEEM objects

Synthetic fluorescence excitation-emission matrices and absorbance spectra

Plot a FEEM object

Perceptually uniform palettes

Compute PARAFAC on a FEEM cube object and access the results

Handle scattering signal in FEEMs

Rescale FEEM spectra to a given norm and remember the scale factor

Split-half analysis of PARAFAC models

write.openfluor

Export a PARAFAC model for the OpenFluor database

Fluorescence indices and peak values

Jack-knife outlier detection in PARAFAC models

Implementation notes for Whittaker smoothing and interpolation of surfaces

Transpose a FEEM