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).
| Version: | 0.3-1 |
| Depends: | R (≥ 3.3) |
| Imports: | multiway (≥ 1.0-4), pracma, lattice, parallel, Matrix |
| Enhances: | eemR, EEM |
| Published: | 2021-04-03 |
| Author: | Ivan Krylov [aut, cre], Timur Labutin [ths] |
| Maintainer: | Ivan Krylov <ikrylov at laser.chem.msu.ru> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | albatross citation info |
| Materials: | NEWS |
| CRAN checks: | albatross results |
| Reference manual: | albatross.pdf |
| Package source: | albatross_0.3-1.tar.gz |
| Windows binaries: | r-devel: albatross_0.3-1.zip, r-release: albatross_0.3-1.zip, r-oldrel: albatross_0.3-1.zip |
| macOS binaries: | r-release (arm64): albatross_0.3-1.tgz, r-release (x86_64): albatross_0.3-1.tgz, r-oldrel: albatross_0.3-1.tgz |
| Old sources: | albatross archive |
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