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eemR: Tools for Pre-Processing Emission-Excitation-Matrix (EEM) Fluorescence Data

Provides various tools for preprocessing Emission-Excitation-Matrix (EEM) for Parallel Factor Analysis (PARAFAC). Different methods are also provided to calculate common metrics such as humification index and fluorescence index.

Version: 1.0.1
Depends: R (≥ 3.2.1)
Imports: stringr, dplyr, R.matlab, pracma, stats, rlist, viridis, purrr, assertthat
Suggests: cdom, magrittr, testthat, knitr, rmarkdown, ggplot2, plot3D, extrafont, tidyr, shiny, DT, MBA
Published: 2019-06-26
DOI: 10.32614/CRAN.package.eemR
Author: Philippe Massicotte [aut, cre]
Maintainer: Philippe Massicotte <pmassicotte at hotmail.com>
BugReports: https://github.com/PMassicotte/eemR/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/PMassicotte/eemR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: eemR results

Documentation:

Reference manual: eemR.pdf
Vignettes: Creating your custom import function
Introduction

Downloads:

Package source: eemR_1.0.1.tar.gz
Windows binaries: r-devel: eemR_1.0.1.zip, r-release: eemR_1.0.1.zip, r-oldrel: eemR_1.0.1.zip
macOS binaries: r-release (arm64): eemR_1.0.1.tgz, r-oldrel (arm64): eemR_1.0.1.tgz, r-release (x86_64): eemR_1.0.1.tgz, r-oldrel (x86_64): eemR_1.0.1.tgz
Old sources: eemR archive

Reverse dependencies:

Reverse depends: staRdom
Reverse suggests: cdom
Reverse enhances: albatross

Linking:

Please use the canonical form https://CRAN.R-project.org/package=eemR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.