airr (>= 1.3), ape, dplyr (>= 1.0), graphics, grid, igraph (>=
1.0), Matrix, methods, progress, Rcpp (>= 0.12.12), readr,
rlang, scales, seqinr, stats, stringi, tibble, tidyr (>= 1.0),
utils, Biostrings (>= 2.56.0), GenomicAlignments (>= 1.24.0),
IRanges (>= 2.22.2)

c(person("Susanna", "Marquez", role=c("aut"),
email="susanna.marquez@yale.edu"),
person("Namita", "Gupta", role=c("aut"),
email="namita.gupta@yale.edu"),
person("Nima", "Nouri", role=c("aut"),
email="nima.nouri@yale.edu"),
person("Ruoyi", "Jiang", role=c("aut"),
email="ruoyi.jiang@yale.edu"),
person("Julian", "Zhou", role=c("aut"),
email="julian.zhou@bulldogs.yale.edu"),
person("Kenneth", "Hoehn", role=c("aut"),
email="kenneth.hoehn@yale.edu"),
person("Daniel", "Gadala-Maria", role=c("ctb"),
email="daniel.gadala-maria@yale.edu"),
person("Edel", "Aron", role=c("ctb"),
email="edel.aron@yale.edu"),
person("Jason", "Vander Heiden", role=c("cre", "aut"),
email="jason.vanderheiden@gmail.com"),
person("Steven", "Kleinstein", role=c("aut", "cph"),
email="steven.kleinstein@yale.edu"))
airr (>= 1.3), ape, dplyr (>= 1.0), graphics, grid, igraph (>=
1.0), Matrix (>= 1.3-0), methods, progress, Rcpp (>= 0.12.12),
readr, rlang, scales, seqinr, stats, stringi, tibble, tidyr (>=
1.0), utils, Biostrings (>= 2.56.0), GenomicAlignments (>=
1.24.0), IRanges (>= 2.22.2)
Susanna Marquez [aut],
Namita Gupta [aut],
Nima Nouri [aut],
Ruoyi Jiang [aut],
Julian Zhou [aut],
Kenneth Hoehn [aut],
Daniel Gadala-Maria [ctb],
Edel Aron [ctb],
Jason Vander Heiden [cre, aut],
Steven Kleinstein [aut, cph]

PARAFAC Analysis of Fluorescence Excitation-Emission Matrices
c(person('Timur', 'Labutin', role = 'aut'),
person('Ivan', 'Krylov', role = 'cre', email = 'ikrylov@laser.chem.msu.ru'))
Perform parallel factor analysis (PARAFAC: Harshman, 2005)
<doi:10.1121/1.1977523>) on fluorescence excitation-emission matrices
(FEEMs): handle scattering signal (Bahram, 2007) <doi:10.1002/cem.978>
and inner filter effect (Kothawala, 2013) <doi:10.4319/lom.2013.11.616>,
scale the dataset, fit the model; perform split-half validation
(DeSarbo, 1984) <https://papers.ssrn.com/abstract=2783446>
or jack-knifing (Riu, 2003) <doi:10.1016/S0169-7439(02)00090-4>. 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).