CRAN/E | staRdom

staRdom

PARAFAC Analysis of EEMs from DOM

Installation

About

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.

Citation staRdom citation info
cran.r-project.org/package=staRdom
Bug report File report

Key Metrics

Version 1.1.28
R ≥ 4.3
Published 2023-06-16 316 days ago
Needs compilation? no
License AGPL
CRAN checks staRdom results

Downloads

Yesterday 24 -44%
Last 7 days 122 +1%
Last 30 days 481 -15%
Last 90 days 1.482 -3%
Last 365 days 5.767 -12%

Maintainer

Maintainer

Matthias Pucher

matthias.pucher@gmx.net

Authors

Matthias Pucher

aut / cre

Daniel Graeber

aut / ctb

Stefan Preiner

ctb

Renata Pinto

ctb

Material

README
Reference manual
Package source

Vignettes

Correcting raw data, calculating peaks and indices in EEMS and absorbance (slope) parameters
PARAFAC analysis of EEM data to separate DOM components in R

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

staRdom archive

Depends

R ≥ 4.3
ggplot2 ≥ 3.4.2
eemR ≥ 1.0.1
parallel ≥4.3

Imports

dplyr ≥ 1.1.2
tidyr ≥ 1.3.0
stringr ≥ 1.5.0
pracma ≥ 2.3.3
zoo ≥ 1.8-12
tibble ≥ 3.2.1
multiway ≥1.0-6
GGally ≥ 2.1.2
graphics ≥ 4.3
doParallel ≥1.0.16
drc ≥ 3.0-1
foreach ≥ 1.5.1
data.table ≥1.14.8
matrixStats ≥ 1.0.0
MBA ≥ 0.1-0
cdom ≥ 0.1.0
R.matlab ≥ 3.7.0
readr ≥ 2.1.4
gtools ≥ 3.9.4
viridisLite ≥ 0.4.2

Suggests

plotly ≥ 4.9.3
xlsx ≥ 0.6.5
knitr ≥ 1.31
kableExtra ≥ 1.3.4
askpass ≥ 1.1
httr ≥ 1.4.2
rmarkdown ≥ 2.6