PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
| Package name | Version | Title | Date | Size | License | |
|---|---|---|---|---|---|---|
| albatross | 0.3-8 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Tue May 07 2024 | 998.24kB | GPL (>= 3) | |
| albatross | 0.3-7 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Fri Nov 10 2023 | 927.09kB | GPL (>= 3) | |
| albatross | 0.3-6 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Mon Jul 17 2023 | 1204.31kB | GPL (>= 3) | |
| albatross | 0.3-5 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Thu Oct 06 2022 | 1175.31kB | GPL (>= 3) | |
| albatross | 0.3-4 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Fri Feb 25 2022 | 601.27kB | GPL (>= 3) | |
| albatross | 0.3-2 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Wed Jul 14 2021 | 695.20kB | GPL (>= 3) | |
| albatross | 0.3-1 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Sat Apr 03 2021 | 663.27kB | GPL (>= 3) | |
| albatross | 0.3-0 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Sat Mar 27 2021 | 663.01kB | GPL (>= 3) | |
| albatross | 0.2-0 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Mon Nov 30 2020 | 583.47kB | GPL (>= 3) | |
| albatross | 0.1-2 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Fri Oct 02 2020 | 574.90kB | GPL (>= 3) | |
| albatross | 0.1-1 | PARAFAC Analysis of Fluorescence Excitation-Emission Matrices | Fri Sep 25 2020 | 571.68kB | GPL (>= 3) |
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.