Package: staRdom
Type: Package
Title: PARAFAC Analysis of EEMs from DOM
Version: 1.0.12
Date: 2019-02-13
Authors@R: c(person("Matthias", "Pucher", email = "matthias.pucher@wcl.ac.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 (>= 3.5), ggplot2 (>= 2.2.1), eemR (>= 0.1.5), parallel (>=
        3.5)
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
Encoding: UTF-8
LazyData: true
Imports: dplyr (>= 0.7.4), tidyr (>= 0.7.1), stringr (>= 1.2.0), pracma
        (>= 2.1.1), zoo (>= 1.8), tibble (>= 1.3), multiway (>= 1.0-5),
        GGally (>= 1.3), graphics (>= 3.3), doParallel (>= 1.0.11), drc
        (>= 3.0-1), foreach (>= 1.4.4), data.table (>= 1.11.2),
        matrixStats (>= 0.53.1), MBA(>= 0.0-9), cdom(>= 0.1.0),
        R.matlab(>= 3.6.2)
Suggests: plotly, xlsx, knitr, kableExtra, rmarkdown, knitcitations
RoxygenNote: 6.1.1
VignetteBuilder: knitr
URL: https://cran.r-project.org/package=staRdom
BugReports: https://github.com/MatthiasPucher/staRdom/issues
NeedsCompilation: no
Packaged: 2019-02-13 15:43:17 UTC; matthias
Author: Matthias Pucher [aut, cre],
  Daniel Graeber [aut, ctb],
  Stefan Preiner [ctb],
  Renata Pinto [ctb]
Maintainer: Matthias Pucher <matthias.pucher@wcl.ac.at>
Repository: CRAN
Date/Publication: 2019-02-13 16:20:03 UTC
