Package: staRdom
Type: Package
Title: PARAFAC Analysis of EEMs from DOM
Version: 1.1.32
Date: 2026-02-19
Authors@R: c(person("Matthias", "Pucher", email = "matthias.pucher@ecosight.at",
                  role = c("aut", "cre")),
                  person("Daniel", "Graeber", email = "daniel.graeber@ufz.de",
                  role = c("aut", "ctb")),
                  person("Stefan", "Preiner", email = "stefan.preiner@boku.ac.at",
                  role = c("ctb")),
                  person("Renata", "Pinto", email = "renatamspinto@sapo.pt",
                  role = c("ctb")))
Depends: R (>= 4.4.0), ggplot2 (>= 3.5.1), eemR (>= 1.0.1), parallel
        (>= 4.4.0)
Description: 'This is a user-friendly way to run a parallel factor (PARAFAC) analysis (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM) data from dissolved organic matter (DOM) samples (Murphy et al., 2013) <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model validation. Some additional functions allow the calculation of absorbance slope parameters and create beautiful plots.'
License: AGPL-3
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 1.1.4), tidyr (>= 1.3.1), stringr (>= 1.5.1), pracma
        (>= 2.4.4), zoo (>= 1.8-12), tibble (>= 3.2.1), multiway (>=
        1.0-6), GGally (>= 2.2.1), graphics (>= 4.4.0), doParallel (>=
        1.0.16), drc (>= 3.0-1), foreach (>= 1.5.1), data.table (>=
        1.16.2), matrixStats (>= 1.4.1), MBA (>= 0.1-2), cdom (>=
        0.1.0), R.matlab (>= 3.7.0), readr (>= 2.1.5), gtools (>=
        3.9.5), viridisLite (>= 0.4.2), purrr (>= 1.2.1), rlang (>=
        1.1.7)
Suggests: plotly (>= 4.10.4), xlsx (>= 0.6.5), knitr (>= 1.48.0),
        kableExtra (>= 1.4.0), askpass (>= 1.2.1), httr (>= 1.4.7),
        rmarkdown (>= 2.28.0), ggrepel (>= 0.9.6)
RoxygenNote: 7.3.3
VignetteBuilder: knitr
URL: https://cran.r-project.org/package=staRdom
BugReports: https://github.com/MatthiasPucher/staRdom/issues
NeedsCompilation: no
Packaged: 2026-02-19 13:41:39 UTC; matthias
Author: Matthias Pucher [aut, cre],
  Daniel Graeber [aut, ctb],
  Stefan Preiner [ctb],
  Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@ecosight.at>
Repository: CRAN
Date/Publication: 2026-02-19 14:10:02 UTC
Built: R 4.6.0; ; 2026-04-17 03:01:09 UTC; windows
