PARAFAC Analysis of EEMs from DOM R package staRdom version 1.1.32 '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.' Software Depends: R (>= 4.4.0), ggplot2 (>= 3.5.1), eemR (>= 1.0.1), parallel (>= 4.4.0) 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) Matthias Pucher <matthias.pucher@ecosight.at> Comprehensive R Archive Network (CRAN) Matthias Pucher [aut, cre], Daniel Graeber [aut, ctb], Stefan Preiner [ctb], Renata Pinto [ctb] AGPL-3 2026-02-19 application/tgz https://CRAN.R-project.org/package=staRdom doi:10.32614/CRAN.package.staRdom